fetchaller
fetchaller is an MCP server for unrestricted web fetching/search plus specialized scraping across Reddit, marketplaces, real estate, shopping, and job boards.
Fetch any URL as clean markdown, raw HTML, JSON, XML, CSV, text, or extracted PDF text; supports GET/POST, custom headers/body, timeouts, token limits, and Reddit comment controls.
Search the web via Google, DuckDuckGo, Brave, or merged/all-provider results with pagination, fallback disclosure, and source labels.
Browse subreddit listings, search Reddit posts, and read Reddit threads/comments.
Search Kijiji, Craigslist, and Facebook Marketplace together by city, category, condition, price, and sort order.
Search realtor.ca homes for sale or rent with location, price, beds/baths, property/building type, ownership, sort, and paging filters.
Search AliExpress and Alibaba products and retrieve product details, pricing, specs, ratings, reviews, MOQ, lead times, and supplier info.
Search job boards and postings: LinkedIn, Ontario Public Service gojobs, Indeed Canada, Job Bank, GC Jobs, Eightfold, Workday, Oracle, Amazon, Google, Apple, Meta, and Uber.
Download UniFi installation guides as combined PDFs or per-page PNG/SVG assets.
Automatically handle supported bot challenges while fetching and block private/internal addresses via SSRF protections.
Automatically bypasses Akamai bot challenges when fetching URLs.
Allows searching Alibaba.com B2B products and retrieving product details with tiered pricing, MOQ, and supplier info.
Allows searching AliExpress products with filters and retrieving product details including price, specs, ratings, and reviews.
Automatically bypasses Cloudflare bot challenges when fetching URLs.
Integrates DuckDuckGo web search as a supplement to Google search results.
Integrates Facebook Marketplace search for listings across categories and locations.
Integrates Google web search for querying and retrieving search results.
Allows browsing subreddit listings and searching Reddit posts with sort and time filters.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fetchaller search Reddit for Claude Code tips"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
fetchaller-mcp
Fetch websites in Claude Code without per-domain permission prompts. Includes web search, complete logged-out New Reddit support, challenge detection, and automatic solving for the supported challenge types below.
Why fetchaller?
Claude Code's built-in WebFetch asks permission for every new domain and blocks Reddit entirely. fetchaller fixes both:
fetch: Read any URL — solves supported passive challenges and reports unresolved blocks as errorssearch: Google by default, with automatic fallback; choosegoogle,ddg,brave, orall. Every result names its source.browse_reddit: Browse subreddit listings (hot/new/top/rising)search_reddit: Search Reddit posts globally or within a subredditsearch_marketplace: Search Kijiji, Craigslist, and Facebook Marketplace simultaneously with human-readable params (city name, category, price range)search_realtor: Search Canadian homes on realtor.ca for sale or rent with full filters (location, price, beds, baths, property/building type, ownership)search_linkedin_jobs/get_linkedin_job: Search LinkedIn's public logged-out job board (keywords, location, date posted, remote/hybrid/on-site, experience, job type, salary) and read full postings — no account neededsearch_gojobs/get_gojobs_job: Search Ontario Public Service jobs and read full posting and competition status detailssearch_indeed/get_indeed_job: Search Indeed Canada and read full public posting data, including salary bands and whether a posting has expiredsearch_jobbank: Search Canada's federal Job Bank by title, city, and radius with local result recheckingsearch_gcjobs/get_gcjobs_job: Search GC Jobs, the federal public service board, and read full postings with the "Who can apply" eligibility line firstget_unifi_manual: Download a Ubiquiti UniFi installation guide as a PDF or per-page PNGs. Ubiquiti publishes no PDF and draws these guides as vector artwork, so they carry no readable text — this rebuilds the pages into a real documentget_aliexpress_product: AliExpress product details (price, specs, ratings, reviews)search_aliexpress: Search AliExpress products with price filters and sortingget_alibaba_product: Alibaba.com B2B product details (tiered pricing, MOQ, lead times, supplier info)search_alibaba: Search Alibaba.com B2B products
Related MCP server: Spider MCP Server
Quick Start
Local Installation (stdio mode)
# Clone and install
git clone https://github.com/Averyy/fetchaller-mcp.git
cd fetchaller-mcp
uv sync
# Point this at branded Google Chrome. The pinned Linux reference build in
# Dockerfile gives the closest browser/transport identity match.
export BROWSER_EXECUTABLE_PATH=/path/to/Chrome-for-Testing
# Add to Claude Code
claude mcp add fetchaller -- uv --directory "$(pwd)" run fetchaller-mcpAdd permissions to ~/.claude/settings.json:
{
"permissions": {
"allow": [
"mcp__fetchaller__fetch",
"mcp__fetchaller__search",
"mcp__fetchaller__browse_reddit",
"mcp__fetchaller__search_reddit",
"mcp__fetchaller__search_marketplace",
"mcp__fetchaller__search_realtor",
"mcp__fetchaller__search_linkedin_jobs",
"mcp__fetchaller__get_linkedin_job",
"mcp__fetchaller__search_gojobs",
"mcp__fetchaller__get_gojobs_job",
"mcp__fetchaller__search_indeed",
"mcp__fetchaller__get_indeed_job",
"mcp__fetchaller__search_jobbank",
"mcp__fetchaller__search_gcjobs",
"mcp__fetchaller__get_gcjobs_job",
"mcp__fetchaller__get_unifi_manual",
"mcp__fetchaller__get_aliexpress_product",
"mcp__fetchaller__search_aliexpress",
"mcp__fetchaller__get_alibaba_product",
"mcp__fetchaller__search_alibaba"
]
}
}Restart Claude Code.
Recommended CLAUDE.md Addition
Add this to your project's CLAUDE.md (or global ~/.claude/CLAUDE.md) to instruct Claude to prefer fetchaller:
## Web Fetching & Search
**ALWAYS use fetchaller tools instead of WebFetch and WebSearch.** fetchaller has no domain restrictions and produces cleaner output.
- `mcp__fetchaller__fetch(url, maxTokens?, timeout?, redditComments?, redditSort?)` — Fetch any URL → clean markdown
- `mcp__fetchaller__search(query, provider, page?)` — Web search; required provider: `google` (preferred), `ddg`, `brave`, or `all`
- `mcp__fetchaller__browse_reddit(subreddit, sort?, time?, limit?)` — Browse subreddit listings
- `mcp__fetchaller__search_reddit(query, subreddit?, sort?, time?, limit?)` — Search Reddit posts
- `mcp__fetchaller__search_marketplace(query, location, platforms?, category?, sort?, condition?, min_price?, max_price?)` — Search Kijiji + Craigslist + Facebook Marketplace
- `mcp__fetchaller__search_realtor(location, transaction?, property_type?, building_type?, min_price?, max_price?, min_beds?, min_baths?, ownership?, sort?, page?)` — Search realtor.ca homes
- `mcp__fetchaller__search_linkedin_jobs(keywords, location?, strict_location?, date_posted?, workplace?, experience?, job_type?, min_salary?, easy_apply?, under_10_applicants?, sort?, start?, limit?)` — Search LinkedIn public jobs; `strict_location` defaults to `true` and re-checks each posting's own location
- `mcp__fetchaller__get_linkedin_job(job_id)` — Full public detail for one LinkedIn posting
- `mcp__fetchaller__search_gojobs(title?, location?, job_category?, career_level?, min_salary?, strict_title?, limit?)` — Search Ontario Public Service jobs
- `mcp__fetchaller__get_gojobs_job(job_id)` — Full OPS posting and competition status
- `mcp__fetchaller__search_indeed(title?, location?, radius_km?, strict_title?, strict_location?, limit?)` — Search Indeed Canada
- `mcp__fetchaller__get_indeed_job(job_key)` — Full Indeed posting, salary band, and expired status
- `mcp__fetchaller__search_jobbank(title?, location?, radius_km?, strict_title?, strict_location?, limit?)` — Search Canada's federal Job Bank
- `mcp__fetchaller__search_gcjobs(title?, location?, organization?, min_salary?, language?, exclude_various_locations?, strict_title?, limit?)` — Search GC Jobs, the federal public service board
- `mcp__fetchaller__get_gcjobs_job(job_id)` — Full GC Jobs posting: eligibility, closing date, salary, classification
- `mcp__fetchaller__get_unifi_manual(url, format?)` — Rebuild a UniFi installation guide as `pdf`/`png`/`svg`. Writes into the server's `DATA_DIR`, so on a containerised deployment the files land inside the container
- `mcp__fetchaller__get_aliexpress_product(product_id, timeout?)` — AliExpress product details
- `mcp__fetchaller__search_aliexpress(query, page?, sort?, min_price?, max_price?, timeout?)` — Search AliExpress
- `mcp__fetchaller__get_alibaba_product(product_id, timeout?)` — Alibaba.com product details
- `mcp__fetchaller__search_alibaba(query, page?, sort?, min_price?, max_price?, timeout?)` — Search Alibaba.comUsage
The mcp__fetchaller__fetch tool is now available:
# Fetch a URL
fetch https://example.com
# Fetch with token limit
fetch https://example.com maxTokens=10000
# Fetch slow site with longer timeout
fetch https://slow-site.com maxTokens=25000 timeout=60Web Search
# Search the web
search "python asyncio tutorial"
# Page 2 of results
search "python asyncio tutorial" page=2Web Research Pattern
Use
searchto find URLsUse
fetchto read them
Tool Reference
fetch(url, maxTokens?, timeout?, raw?, method?, headers?, body?)
Parameter | Type | Default | Description |
url | string | required | URL to fetch (http/https) |
maxTokens | number | 25000 | Max tokens to return |
timeout | number | 10 | Request timeout in seconds |
raw | boolean | false | Return raw HTML instead of markdown |
method | string |
|
|
headers | object | — | Extra request headers (max 32) |
body | string | — | Request body, |
POST
Many search and listing APIs answer only to POST — Getro (which powers a large share of VC portfolio job boards), Algolia, GraphQL gateways. Their pages look static and fetch fine, so a GET-only fetcher reports an empty board on a site that appears to work.
{
"url": "https://api.getro.com/api/v2/collections/246/search/jobs",
"method": "POST",
"headers": { "Accept": "application/json" },
"body": "{\"hitsPerPage\":100,\"page\":0}"
}Content-Type defaults to application/json when the body is valid JSON.
A POST skips site-specific handling and the response cache — every site
interceptor answers a URL pattern by issuing its own request, which would
discard the caller's body, and the cache is keyed by URL alone.
Only GET and POST are accepted. PUT/PATCH/DELETE have no retrieval
use; connection and body-framing headers (Host, Content-Length,
Transfer-Encoding, …) cannot be set. Credentials (Authorization, Cookie,
…) are dropped if a redirect crosses to another host, and a 301/302/303
downgrades a POST to a bodyless GET as browsers do.
Returns
Clean markdown with:
Page title as H1
Scripts, styles, nav, footer, iframes removed (careers/jobs links in the site chrome are preserved — they are almost never in the body copy)
HTML converted to markdown
Redirects noted
Content truncated at token limit
A
possibly_js_renderedwarning when the page's content is assembled by JavaScript, so an un-hydrated shell is not mistaken for an empty site — with whatever the shell still declares (description, canonical URL, company profiles from JSON-LD) recovered alongside it, since on such a page that is the entire available answer
Edge Cases
Scenario | Behavior |
Invalid URL | Error message |
Non-200 response | Error + partial body |
JSON content | Returned as-is |
XML/RSS feeds | Returned as-is |
CSV files | Returned as-is |
Plain text | Returned as-is |
PDF files | Text extracted |
Timeout | Error after timeout (default 10s) |
Huge page | Truncated at maxTokens |
search(query, provider, page?)
Parameter | Type | Default | Description |
query | string | required | Search query (up to 512 characters) |
provider | string | required; prefer |
|
page | integer | 1 | Result page: 1-100; DDG alone supports 1-10 |
search({query: "Python asyncio documentation", provider: "google"})
search({query: "Python asyncio documentation", provider: "all", page: 2})Google is the default choice, but provider must be included in every MCP call. A Google failure automatically falls back to DuckDuckGo, then Brave if needed. The output states why Google failed and which provider answered, and every result carries its source. An honest zero-result response does not trigger fallback. Explicit ddg and brave calls use only that provider. all queries all three concurrently and deduplicates URLs, keeping Google ranking first. Beyond page 10, DDG is explicitly skipped in all and Google fallback.
Google returns ten requested results per page through the Google Docs research-search JSON endpoint, using eligible public document IDs as request context; it searches the web, not those documents. No API key, login, browser or Opera Mini profile is used. All verified IDs are indexed in src/fetchaller/search/google_documents.json; each uncached Google request starts with a random healthy ID, avoiding consecutive reuse when alternatives exist. Document-specific failures are logged, cooled down for 15 minutes and skipped within a three-attempt total budget. HTTP 429 respects Retry-After and Google-wide backoff without rotating IDs. Requests across the entire Google pool are spaced at least six seconds apart. Pagination prefers server cursors and otherwise encodes the requested offset as a protobuf varint.
Override the verified pool with FETCHALLER_GOOGLE_DOCUMENT_IDS, a JSON array of eligible IDs. Do not add IDs without validating the search endpoint. See the handoff and verified pool. This legacy endpoint has no established parity with the ordinary Google SERP for ranking, freshness, SafeSearch, geography or time filters.
DuckDuckGo pages by walking its previous Next form, up to page 10; Brave uses a zero-based page offset and returns about twenty results per page. All three engines are paced at least six seconds apart per provider, matching Reddit’s default budget of ten requests per minute. DuckDuckGo and Brave add jitter, serialize HTTP requests, and also enable wafer’s six-second limiter; hidden transport retries are disabled. Their shared provider cooldowns cover explicit calls, all, and fallback: 60 seconds after HTTP 429 and 300 seconds after HTTP 403 (also DDG’s blocking 202), extended by a longer Retry-After. Google retains its escalating global backoff. Complete nonempty successes are cached for five minutes per query, page and provider; fallback and partial failures are retried on the next call. Provider errors always remain visible.
Brave delegates its verification challenge to wafer through the server’s existing guarded browser solver. Recovery uses the published wafer 0.7.9 release, required by fetchaller 3.8.6. The solver allows up to 120 seconds, the complete HTTP call 150 seconds, and the Brave provider 180 seconds including pacing and parsing. A challenge that remains unresolved is reported as a provider failure and starts a cooldown, including a challenge returned with HTTP 200. No challenge solving or cookie manipulation lives in fetchaller. Wafer 0.7.9 includes commit d01c811, which fixes the earlier reload stall and fast-recovery classification race. Real challenged MCP searches returned 20 Brave results on macOS and Linux, and native headed/headless checks verified fresh PoW, spare-token reuse and browser-free restart. Brave consumes token cookies after HTTP reads; wafer can use session-local spare tokens for later gates, with fresh work potentially needed after restart. See the verification record. Google and DuckDuckGo remain browser-free. Allow up to 360 seconds in MCP clients for the complete Google → DDG → Brave fallback chain. See local Brave verification.
Reddit Tools
Two tools for Reddit research:
browse_reddit - Browse Subreddit Listings
browse_reddit({
subreddit: "LocalLLaMA", // without r/ prefix
sort: "hot", // hot, new, top, rising
time: "day", // hour, day, week, month, year, all (for "top" only)
limit: 10 // 1-25
})Returns post titles, scores, comment counts, and URLs. Use fetch to read full posts.
search_reddit - Search Posts
search_reddit({
query: "best mass spectrometry software",
subreddit: "labrats", // optional - limit to subreddit
sort: "relevance", // relevance, hot, top, new, comments
time: "year", // hour, day, week, month, year, all
limit: 10 // 1-25
})Returns matching posts with metadata. Use fetch to read full discussions.
Compact New Reddit Fetching
Normal Reddit URLs and emitted links are canonicalized to www.reddit.com.
Structured JSON reads use the logged-out api.reddit.com origin and are
rendered as compact Markdown; HTML-only legs remain on the fixed New Reddit
www origin. Since about 2026-10-20 Reddit refuses a thread's JSON,
/api/info, /api/morechildren and /user/{name}/about to every logged-out
client, so threads, comments and profiles are read the way the Reddit app
reads them: as persisted GraphQL operations on gql-fed.reddit.com, still
anonymous (the post itself still comes from /by_id). Reddit returns at most
200 comments per read: by default (redditComments: "fast") a thread is one
read with "Load more" links carrying the comment forest's own cursor, and
redditComments: "more" follows those links automatically -- top-level
comments first, up to five extra reads, until maxTokens is full or the
timeout is near (raise both with it). redditSort sets the comment order:
best (default, Reddit's own ranking), top, new, old, controversial or
qa; a thread URL's own ?sort= works too. Several posts at once (a /by_id list,
related-post details) are one batch read, since Reddit refuses /by_id lists
to logged-out clients. Comment streams (/r/{subreddit}/comments/
and the sitewide one) have no logged-out equivalent, and fetchaller says
Reddit refuses them rather than showing an empty stream.
/r/{subreddit}/wiki/pages/ first reads the canonical New Reddit SSR page tree,
then falls back to New Reddit's own logged-out WikiPageRevisionsV2 page tree on
the fixed /svc/shreddit/graphql route when a community does not server-render
that tree. Both paths are anonymous: the page index needs no OAuth scope and no
browser. Reddit retired post collections, gilded listings and the gold-only
community directory; each is reported with Reddit's own answer (HTTP 500,
400/403/404, or a redirect), never rebuilt from an archive.
Thread output includes the public vote score and upvote ratio returned by
Reddit, comment count and nested comments, outbound/discussion links, and
structured gallery, video, crosspost, poll, NSFW/spoiler/locked/archived, and
deleted-content state. Comment permalink URLs preserve the selected comment and
its parent context.
old.reddit.com input URLs are canonicalized to New Reddit; no normal request
depends on Old Reddit. Explicit .json URLs still return raw JSON, except
the ones Reddit refuses to every logged-out client (a thread's .json), which
report that refusal. raw=true
on a normal Reddit URL returns the canonical New Reddit HTML representation.
Embedded author-written Old Reddit links are rewritten to their equivalent
www.reddit.com target.
Explicit JSON always remains parseable. When it exceeds maxTokens, fetchaller
retains only whole source scalars in a structural prefix and adds the top-level
JSON marker "_fetchaller_truncated": true (or a marker object at the end of a
top-level array). It never slices a string, substitutes a value, or reports
invalid JSON as success; a budget too small for both useful content and the
marker returns an explicit error.
fetchaller reads Reddit anonymously only and holds no credential: there is no account, login, OAuth user token, or client ID/secret in fetchaller. Every read is logged out. Its transport, wafer (>=0.7.0), serves JSON reads through Reddit's Android app API on an anonymous install token it mints and caches itself, and HTML through New Reddit's logged-out web path; neither needs a browser. The wiki page index is served by the SSR tree or New Reddit's logged-out page-tree route. Routes Reddit serves only to a logged-in account — exact moderator rosters, and account-private upvoted/downvoted activity — return an explicit error saying so; no names or counts are ever guessed or reconstructed.
Vote data is not reconstructed: score is Reddit's public, fuzzed vote score,
and upvote_ratio is displayed only when Reddit returns it. Separate true
upvote/downvote counts are not available anonymously and are never invented.
Bounded Context Use
The compact renderer requests limits and nesting depth from the caller's token budget, emits complete sections, and names every omitted section. Compactness is never allowed to remove public content silently. Any future size benchmark must ship its corpus, raw outputs, command, and timestamp with the result.
Reproducible Live Parity Evidence
baselines/reddit-legacy-contract-v1.json is an independent, versioned
inventory derived from the last generic Old Reddit implementation. The
offline gate compares that contract with both the production router and
baselines/reddit-parity-corpus.json, then exercises route/schema/renderer/MCP
fixtures:
uv run pytest -q \
tests/test_reddit_legacy_contract.py \
tests/test_reddit_parity_corpus.py \
tests/test_reddit.pyThe separate live gate runs the corpus through a real stdio MCP server with its six-second default pacing (five-second minimum):
SMOKE_STDIO_COMMAND='["docker","run","--rm","-i","fetchaller-mcp:candidate","python","-m","fetchaller.main"]' \
uv run python scripts/reddit_parity.py \
--strict \
--include-unstable \
--output /tmp/fetchaller-reddit-parityThe runner starts with an empty dedicated wafer-cache directory, keeps it for
the warm and recreated-process stages, and records every body (including a
failed/challenge body), hash, command, timestamp, and outcome. For an exact
docker run command it mounts beneath entrypoint-owned /app/data, aligns the
runtime UID/GID with the host, validates a real owner-only Reddit cookie file
after warm and recreated stages, records non-secret Reddit cache hydration and
pure-HTTP verification counts, and rejects either recreated verification or
guarded-browser egress. A conflicting cache/ownership environment or --env-file
fails closed. When real OAuth credentials make the two OAuth corpus entries eligible,
Docker receives only --env NAME forwarding (never credential values in the
command or report); anonymous SSR output never counts as OAuth evidence.
Default runs require stable anonymous targets in --strict mode. The complete
release gate adds --include-unstable: the runner discovers current real
post/comment, wiki-revision, public-multireddit, and live-update IDs through
separately recorded MCP calls, then requires
every public route
cold, warm, and recreated. It never substitutes a fake opaque ID.
Fixture-only targets always remain offline and can never become live evidence;
they are limited to inherently non-public access states such as private,
quarantined, banned, gated, forbidden, and not-found, and to surfaces Reddit
itself retired (gilded listings, post collections, the gold-only directory),
which are reported exactly as Reddit answers them and never rebuilt from an
archive.
Every route in the corpus is an anonymous public read and needs no
configuration. The live Reddit gates are currently waived on GitHub's hosted
runners only: Reddit answers the anonymous solve origin with 403 there, to a
real headful Chrome as well as to the HTTP client, which is consistent with
datacenter-IP blocking rather than anything request-side. Those runs carry an
explicit warning annotation so a green build is never mistaken for validated
Reddit, and the offline Reddit contract and fixture gate still runs on every
build. Every offline entry must carry a mandatory reason and complete fixture
evidence.
Rate Limits
browse_reddit and search_reddit each use one JSON call. A normal fetch
uses one bounded JSON call for most URLs; a profile root uses five independent
public sources for metadata, activity, trophies, multireddits, and moderated
communities. Mapped fetch calls and both dedicated tools share the server's
request queue. Anonymous reads share a durable wafer session; configured API
reads share a separate cookie-isolated application session. Caller-selected
raw representations use the generic fetch path and its Reddit domain limiter.
Token refreshes and every API request use the same bounded request budget.
AliExpress & Alibaba Tools
get_aliexpress_product(product_id, timeout?) - Product Details
Accepts a numeric product ID (e.g., 1005006027485365) or full URL. Returns
price, specifications, ratings, and recent reviews via AliExpress's MTop API.
If MTop is unavailable after a live search, an exact matching validated search
listing can supply a clearly labeled, narrower title/price/rating snapshot.
The optional timeout is an end-to-end budget from 1 to 180 seconds (default 180).
Prices are in USD for the US unless SHOPPING_COUNTRY/SHOPPING_CURRENCY are
set (e.g. GB/GBP: pound prices with UK VAT included).
search_aliexpress(query, page?, sort?, min_price?, max_price?, timeout?) - Search Products
Parameter | Type | Default | Description |
query | string | required | Search query |
page | number | 1 | Page number (1-indexed) |
sort | string | "default" | default, orders, price_asc, price_desc |
min_price | number | — | Minimum price filter, in the currency the results are priced in |
max_price | number | — | Maximum price filter, in the currency the results are priced in |
timeout | integer | 180 | End-to-end budget in seconds (1–300) |
Results are priced in the SHOPPING_COUNTRY/SHOPPING_CURRENCY locale when it
is set, and otherwise in whatever the site picks for the server's IP. A
first-order "welcome deal" price is labelled (new-shopper price, £X off).
AliExpress sometimes answers a price-sorted search with a price filter with "No
search results" while still counting matches; that is reported as an error
naming the count (sort default or orders lists them), never as an empty
result.
get_alibaba_product(product_id, timeout?) - B2B Product Details
Accepts a numeric product ID or full URL. Returns tiered pricing, MOQ, lead times, supplier info, and specifications.
The optional timeout is an end-to-end budget from 1 to 300 seconds (default 180).
Prices follow SHOPPING_COUNTRY/SHOPPING_CURRENCY when they are set. Search
results (search_alibaba) do not: they stay in the currency Alibaba picks.
search_alibaba(query, page?, sort?, min_price?, max_price?, timeout?) - Search B2B Products
Parameter | Type | Default | Description |
query | string | required | Search query |
page | number | 1 | Page number (1-indexed) |
sort | string | "default" | default (relevance), orders (most sold), price_asc, price_desc. Alibaba has no price sort: the price sorts re-order the returned page by lowest listed price, and the output says so |
min_price | number | — | Minimum price filter, in the currency results are priced in |
max_price | number | — | Maximum price filter, in the currency results are priced in |
timeout | integer | 180 | End-to-end budget in seconds (1–300) |
Marketplace Search
search_marketplace — Search Kijiji, Craigslist, and Facebook Marketplace
Searches all three platforms concurrently with human-readable parameters and returns grouped results.
Parameter | Type | Default | Description |
query | string | required | Search keywords |
location | string | required | City name (e.g. "toronto", "st catharines, ON", "seattle") |
platforms | string[] | all | Platforms to search: kijiji, craigslist, facebook |
category | string | "all" | all, cars, electronics, furniture, clothing, tools, free, bikes, phones, motorcycles, boats, rvs, auto_parts, sporting, toys, baby |
sort | string | "date" | date, price_asc, price_desc, relevance |
condition | string | — | new, like_new, good, fair |
min_price | number | — | Minimum price in dollars |
max_price | number | — | Maximum price in dollars |
Kijiji is Canada-only and automatically skipped for US locations. Location matching supports exact names, common aliases (e.g. "niagara" → Hamilton CL area), and fuzzy matching for typos.
Real Estate Search
search_realtor — Search realtor.ca homes
Searches Canadian homes for sale or rent via realtor.ca's api2, with the full filter set so an assistant can narrow a home search. Returns listings with price, address, beds/baths, size, agent, and a realtor.ca URL.
Parameter | Type | Default | Description |
location | string | required | City, neighbourhood, or postal code (e.g. "Ottawa", "Orleans, Ottawa", "M5V") |
transaction | string | "sale" | sale, rent |
property_type | string | "any" | any, residential, condo, recreational, vacant-land, multi-family, agriculture, parking |
building_type | string | — | house, duplex, triplex, townhouse, apartment, other |
min_price | integer | — | Minimum price (sale) or monthly rent |
max_price | integer | — | Maximum price (sale) or monthly rent |
min_beds | integer | — | Minimum bedrooms |
min_baths | integer | — | Minimum bathrooms |
ownership | string | — | freehold, condo |
sort | string | "newest" | newest, oldest, price-asc, price-desc |
page | integer | 1 | Result page (~20 per page, up to 600 returnable) |
Call fetch(url) on any listing URL for the full description, every property detail, and similar nearby homes. fetch also handles realtor.ca search/SEO/map pages (/{prov}/{city}/real-estate, /map) and all wellfound.com pages (startup job search, job detail, company profiles).
How It Works
Validates URL (http/https only)
Blocks private/internal IPs (SSRF protection with DNS rebinding prevention)
Fetches with browser-like TLS fingerprints via wafer (Rust/BoringSSL) — rotates Chrome versions automatically
If bot challenge detected: solves automatically (see Bot Challenge Bypass below)
Detects content type
For HTML: removes junk elements (nav, footer, ads, cookie banners), applies site-specific cleanup (25+ sites including GitHub, Reddit, HN, Wikipedia, Medium, Stack Overflow, Amazon, eBay, AliExpress, Alibaba, DigiKey, Mouser, realtor.ca, wellfound.com, vacuumwars.com, The Home Depot (homedepot.com + homedepot.ca), plus Ashby/Greenhouse/Lever/Gem/Dayforce/Cornerstone/Workday/BambooHR/JazzHR/Work-at-a-Startup job boards with embed + white-label detection, and more), converts to markdown
For JSON/XML/CSV/text: returns raw
For PDF: extracts text
Truncates to token limit
Bot Challenge Bypass
fetchaller detects bot challenges and attempts the supported solver. A request
is successful only after the resulting content is no longer a challenge or
block page; a Playwright navigation that remains blocked is an error, never a
successful fetch. First requests can be slower, while later requests can reuse
durably cached cookies. The timeout parameter is one total wall-clock budget
covering transport retries, queueing, and browser solving.
Supported Challenges
Challenge | Method | Speed |
Alibaba Cloud WAF (ACW) | Inline Python solver | ~1ms |
Alibaba Cloud WAF (TMD) | wafer browser solver | ~5-60s |
Cloudflare Managed Challenge | Patchright browser solver | ~3-30s |
Akamai Bot Manager | Patchright browser solver | ~3-15s |
Amazon rate-limit/CAPTCHA | Inline form parse + follow (no browser) | ~100ms |
DataDome, PerimeterX, Imperva | Patchright browser solver | ~3-10s |
Kasada | Browser CT token + Python SHA-256 PoW | ~3-10s |
GeeTest v4 slide CAPTCHA | CV notch detection + drag replay | ~5-15s |
hCaptcha | Checkbox auto-pass; image escalation is detect-only | ~5-30s |
reCAPTCHA v2 / Enterprise | Checkbox → ONNX image grid | ~5-60s |
F5 Shape, AWS WAF | Patchright browser solver | ~3-15s |
All challenge solving is handled by wafer's BrowserSolver (Patchright-based). Cookies are cached per-domain so subsequent requests skip the challenge.
Arkose/FunCaptcha and hCaptcha image escalation are detect-only and return an explicit challenge error. Vercel and generic-JS handling supports passive JavaScript checks only. An interactive CAPTCHA or any page that still contains the challenge is reported as unresolved.
Requirements
Docker: The browser-complete image is linux/amd64 because Google does not
publish Chrome for Testing for Linux arm64. The build downloads one immutable
Chrome-for-Testing archive, verifies its SHA-256 digest and exact version, and
sets BROWSER_EXECUTABLE_PATH to that binary. BrowserSolver validates that the
configured executable is branded Chrome and warns if its version differs from
wafer/wreq's default emulation; browser-bound HTTP identity is aligned to the
installed browser, while the pinned image also keeps the TLS shape matched. The
local Compose file requests amd64 automatically on Apple Silicon, and the
cookie-data volume persists solved cookies across restarts.
Local (stdio): Browser support is included by default, but protected-site
solves require installed branded Google Chrome. Set BROWSER_EXECUTABLE_PATH
to that executable. Matching the Chrome version wafer claims is recommended, so
the browser and the plain client name the same Chrome; the current Linux
reference version and archive checksum are the CHROME_VERSION and
CHROME_SHA256 arguments in Dockerfile.
Architecture
Content Processing
src/fetchaller/content/ handles HTML→markdown conversion. Each site module exports is_<site>(url), SELECTORS_LIST, and optionally strip_<site>_junk(soup) / postprocess_<site>(markdown):
html.py— Generic pipeline + dispatch. Universal junk selectors, markdownify, whitespace cleanup. Generic JSON-LD Product fallback.amazon.py— All TLDs (.com, .ca, .co.uk, .de, etc.). CSS selectors, soup cleanup, regex post-processors.github.py— CSS selectors, URL transforms, file tree extraction, issue/PR/discussion extraction from embedded JSON.reddit.py— Strict Reddit host recognition, New Reddit canonicalization, public URL→structured routing (JSON plus the canonical SSR wiki page tree), bounded compact renderers for threads/listings/profiles/rules/wiki, rich media, and structured access states.hackernews.py— CSS selectors, table unwrapping, story block reformatter.medium.py— CSS selectors (data-testid), HTML-based detection for unknown custom domains.huggingface.py— data-target attribute selectors, filter tag/button cleanup.stackoverflow.py— All Stack Exchange sites. CSS selectors, soup cleanup, regex post-processors.redflagdeals.py— RFD-specific CSS selectors, soup cleanup, regex post-processors.forums.py— Generic forum support (XenForo, vBulletin, phpBB, Discourse). RSS/Atom feed autodiscovery.wikipedia.py— CSS selectors for edit buttons, navboxes, TOC, reference lists.vacuumwars.py— Vacuum Wars (vacuumwars.com, compare.vacuumwars.com, robotvacs.com). Reads the robot-vacuum comparison tool's inline dataset (window.vwProducts), which the client-side app otherwise renders as an empty board; routes comparison reads to the tool's own uncached host rather than the cached WordPress copy, disclosing the swap and falling back loudly if it fails; separates lab-tested models from listed-only ones, collapses colour variants only where every printed figure agrees, and de-duplicates the leaderboard card that prints each product twice.alibaba.py— Embedded JSON extraction (window.detailData,window.__page__data_sse10), soup cleanup.aliexpress.py— CSS selectors, soup cleanup, regex post-processors.craigslist.py— All city subdomains. CSS selectors, regex post-processors. Search URL detection for SAPI intercept.facebook_marketplace.py— URL detection only. GraphQL client infacebook_marketplace/package.digikey.py— All TLDs. CSS selectors, soup cleanup. Behind Akamai (wafer handles). HTML fallback without API key.ebay.py— All TLDs. JSON-LD product extraction, search result DOM extraction (.s-item), regex post-processors.molex.py— JSON-LD Product extraction (additionalProperty specs). CSR site — specs only in structured data.mouser.py— All TLDs. CSS selectors, soup cleanup. Behind Akamai. HTML fallback without API key.soylent.py— Shopify store cleanup, inventory extraction fromgsf_conversion_data.ti.py— Document viewer support for lazy-loaded datasheets.ashby.py/greenhouse.py/lever.py/gem.py/dayforce.py/cornerstone.py/workday.py/bamboohr.py/jazzhr.py/teamtailor.py/workatastartup.py— Job-board platforms. All preserve the source's own field names, enum values, and section titles. Each posting and (where supported) board listing is dispatched to the platform's API/JSON shell before the generic HTML pipeline. Six embed/white-label detectors run during the HTML phase so company career pages likesynaptivemedical.com/job-openings(white-label Dayforce),skywatch.com/careers/(Ashby<script src="…/embed">),avidbots.com/company/careers/(BambooHR<div id="BambooHR">),earthdaily.com/job-openings(JazzHR multi-tenant), andcareers.oatly.com/jobs(Teamtailor on a custom domain) are upgraded to structured ATS output instead of returning empty SPA shells. Seedocs/site-apis.mdfor endpoints and detection details.
Search
src/fetchaller/search/ — Unified Google, DuckDuckGo and Brave search. Google uses the Google Docs JSON endpoint with a randomized healthy document pool, cursor pagination and global throttling backoff. Provider selection, automatic Google fallback, source labels, URL deduplication and a 5-minute cache use separate wafer sessions; Brave alone receives the server’s guarded browser solver for challenge recovery.
Site-Specific API Intercepts
CSR sites where HTML scraping produces garbage are intercepted in fetch_url() and routed to structured APIs:
Craigslist (
src/fetchaller/craigslist/) — SAPI v8 client (sapi.craigslist.org). Up to 120 items/request with total count. Area IDs from page HTML, cached per hostname. Listing pages stay in HTML pipeline.Kijiji (
src/fetchaller/kijiji/) — Unauthenticated Apollo GraphQL (kijiji.ca/anvil/api). Search + listing detail. Prices in cents.Facebook Marketplace (
src/fetchaller/facebook_marketplace/) — GraphQL (facebook.com/api/graphql/) sent in the logged-out Comet form (__a,__comet_req; without them search silently serves nothing). A search or city URL is read from the page's own preloaded query and results, so location and filters match facebook.com; listing detail with photos.AliExpress (
src/fetchaller/aliexpress/) — MTop API for products (token bootstrap + MD5 signing). SSR HTML for search. Reviews fromfeedback.aliexpress.com.Alibaba.com (
src/fetchaller/alibaba/) — SSR HTML with embedded JSON. No MTop API for international site.eBay — SSR search results extracted from
.s-itemDOM elements, formatted as numbered list.Mouser (
src/fetchaller/mouser/) — Search API client. RequiresMOUSER_API_KEY.DigiKey (
src/fetchaller/digikey/) — OAuth2 client_credentials API. RequiresDIGIKEY_CLIENT_ID+DIGIKEY_CLIENT_SECRET.Ubiquiti / UniFi (
src/fetchaller/ubiquiti/) —*.store.ui.com,techspecs.ui.com, andui.com/qig/<slug>installation guides. Store pages carry the price in their HTML but none of the technical specifications, which render client-side from__NEXT_DATA__; dispatch is by Next.js route, not URL shape. Guides are JS page assets of outlined vector art with no readable text, rebuilt into a PDF/PNG byget_unifi_manual.Costco (
src/fetchaller/costco/) — costco.com and costco.ca search and category pages from the catalogue search the sites themselves use (Google Retail Search behindgdx-api.costco.com), configured from each page's own published service config: prices, sale prices, promotions, delivery and warehouse stock for the site's default warehouse (named), ratings, item numbers, paging, sort, brand refinement, and the site's own keyword redirects ("tv" → TVs) followed and disclosed. costco.com's catalogue is behind Kasada, so its searches go through the browser solver, where the site's own page signs them: 3-9 s on macOS and 15-25 s in the Linux image, so passtimeout=60there (and don't setTZ=UTC; seeTZ).The Home Depot (
src/fetchaller/homedepot/) — homedepot.com and homedepot.ca. homedepot.com's pages sit behind Akamai's sensor challenge, but their data comes from the site's own federation-gateway GraphQL, with wafer using the guarded browser on the caller’s page to recover an Akamai refusal: products (specs, per-store price and pickup stock, shipping), search and category listings (paging, sort, price range, refinements, keyword redirects followed and disclosed), reviews (pooled across variants, each sibling's review marked) and store pages. homedepot.ca is read from its Angular page state, its search API and its price service (sale was-prices live only there), in English and French.Marketplace Search (
src/fetchaller/marketplace/) — Unified orchestrator searching Kijiji, Craigslist, and Facebook Marketplace concurrently. Human-readable params mapped to platform-specific values. Auto-skips Kijiji for non-Canadian locations.Dayforce HCM (
src/fetchaller/content/dayforce.py) — Posting detail from SSR'd__NEXT_DATA__. Board listing via CSRF-protected POST to/api/geo/{namespace}/jobposting/search(NextAuth/api/auth/csrfround-trip required). White-label deployments on company domains are detected via__NEXT_DATA__.runtimeConfig.BASE_URLand rewritten to the canonicaljobs.dayforcehcm.comboard URL.Cornerstone OnDemand (
src/fetchaller/content/cornerstone.py) — SPA shell carries a JWT incsod.context. Posting fromservices/x/job-requisition/v2/requisitions/{reqid}/jobDetails; board listing POSTed torec-job-search/external/jobson the regional cloud host (us|eu|uk|au.api.csod.com).Workday (
src/fetchaller/content/workday.py) —{tenant}.wd{1-103}.myworkdayjobs.comboards and postings. Posting GET/wday/cxs/{tenant}/{site}/job{externalPath}; board POST/wday/cxs/{tenant}/{site}/jobspaginated in batches of 20 (capped at 200).BambooHR (
src/fetchaller/content/bamboohr.py) —{tenant}.bamboohr.com/careers. Board GET/careers/list; posting GET/careers/{id}/detail. Both return clean JSON unauthenticated. Widget embeds (<div id="BambooHR" data-domain="{tenant}.bamboohr.com">) on company sites are auto-detected and resolved to the tenant subdomain.Teamtailor (
src/fetchaller/content/teamtailor.py) —{slug}.teamtailor.com/jobsor the company's own domain (careers.oatly.com/jobs, recognised from the page). The HTML list stops at 20 with no salaries, so the board is read fromjobs.json(salary band, dates) joined tojobs.rss(department, location, remote status) on the posting UUID, walking both feeds' paging to the end — which works differently with a filter than without. Postings render from their own page.JazzHR (
src/fetchaller/content/jazzhr.py) —{tenant}.applytojob.com/apply. Board SSR'd HTML (.list-group .list-group-item); posting reads schema.orgJobPostingJSON-LD. Company sites that reference one or more JazzHR tenants via JS (e.g.earthdaily.com/job-openings) are auto-aggregated into a combined board.
HTTP Transport (Wafer)
All HTTP is handled by wafer (~/code/wafer). Fetchaller does NOT contain bot protection, challenge solving, or TLS fingerprinting code. If a site blocks requests, fix it in wafer.
Remote Deployment (HTTP Mode)
Deploy fetchaller as a remote MCP server for Claude.ai, Claude Desktop, or any MCP client.
Quick Start
# Local loopback HTTP with authentication and restart-stable OAuth
export MCP_API_KEY='your-secret-key'
export JWT_SECRET="$(openssl rand -hex 32)"
export MCP_SERVER_URL='http://localhost:6000'
uv run python -m fetchaller.main --http
# Production Compose also requires a public HTTPS origin. It binds the app
# itself to 127.0.0.1:6000 for a host TLS reverse proxy.
export MCP_SERVER_URL='https://mcp.example.com'
docker compose up -dProduction traffic must terminate TLS before reaching the loopback-bound app.
Configure the host reverse proxy to forward to 127.0.0.1:6000. If the proxy
sets X-Forwarded-For, set TRUSTED_PROXY_IPS to only that proxy's exact
address or CIDR; untrusted forwarded headers are ignored.
Local Development
# Build and test locally
docker compose -f docker-compose.local.yml up --build
# Test endpoints
curl http://localhost:6000/health
curl -X POST http://localhost:6000/mcp \
-H "Authorization: Bearer test-api-key-local" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}'Claude Code/Desktop Config
{
"mcpServers": {
"fetchaller": {
"type": "streamable-http",
"url": "https://mcp.fetchaller.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}Claude.ai Custom Connector (OAuth)
For Claude.ai web/mobile with cross-platform sync:
Go to Settings → Connectors → Add Custom Connector
Name:
fetchallerURL:
https://mcp.fetchaller.com/mcpLeave Client ID/Secret blank
Enter your API key when prompted
Environment Variables
Variable | Default | Description |
| 6000 | Server port (1-65535) |
|
| Container supervisor deadline for HTTP readiness; expiry exits nonzero so Docker restarts the service |
|
| Grace period after supervisor |
| (required) | Bearer token for auth |
| loopback default outside production Compose | Public HTTPS origin for OAuth; exact loopback HTTP is allowed for local use |
| (required with API keys) | Stable signing secret for OAuth tokens — see below |
|
| Set to |
|
| Persistent OAuth client and refresh-token state |
|
| OAuth access-token lifetime in seconds (30 days) |
| 100 | Requests/minute per IP |
|
| Set to |
| — | Comma-separated addresses/CIDRs of reverse proxies whose rightmost |
|
| Timezone of the challenge-solving browser. Set it to your server's public IP's zone (e.g. |
| — (each site picks from the egress IP) | Pin AliExpress (search and product details) and Alibaba product pages to a ship-to country (ISO 3166-1 alpha-2, e.g. |
| — | Mouser Search API key (free registration) |
| — | DigiKey API client ID (free registration) |
| — | DigiKey API client secret |
JWT_SECRET (required for persistent deployments)
OAuth access tokens are stateless JWTs. When MCP_API_KEY is configured, HTTP startup fails
if JWT_SECRET is unset. For local HTTP development only, ALLOW_EPHEMERAL_JWT=1 opts into a
random per-process secret; every previously issued access token then becomes invalid when the
process restarts. Registered clients and hashed refresh tokens persist under DATA_DIR, while
short-lived authorization codes remain in memory.
Generate one value and keep it stable for the life of the deployment:
openssl rand -hex 32Pass it to the container the same way as MCP_API_KEY (compose environment:, Unraid
template variable, etc.). Verify it landed with printenv | grep JWT_SECRET inside the
container — an empty value counts as unset and prevents authenticated HTTP startup.
Two caveats:
Changing it invalidates every access token. Clients can normally recover with their persisted rotating refresh tokens, but rotating both the secret and OAuth state un-pairs every connector.
Do not derive it from
MCP_API_KEY. Token payloads carryapi_key_hashin cleartext, so a derived secret is recoverable from any captured token, allowing forged tokens. Use an independent random value.
Bearer auth with a raw MCP_API_KEY is unaffected by any of this — it is validated against
the environment variable directly and survives restarts.
Security
SSRF Protection: Blocks localhost, private IPs, CGNAT/shared space, link-local addresses, and DNS rebinding services (nip.io, xip.io, etc.). Resolves hostnames, verifies every resolved address, and pins the connection to those addresses to close the DNS-rebinding window. Chromium challenge solving is covered too: every browser redirect and subresource is forced through a loopback-only SOCKS5 guard that re-applies the address policy and connects to an approved numeric IP. Public nonstandard ports remain supported; Chromium's own unsafe-port policy determines which ports a page may use. Transition addresses (NAT64, 6to4, Teredo, IPv4-mapped) are judged by the IPv4 they actually translate to, so
64:ff9b::+ a public host works on IPv6-only networks while64:ff9b::7f00:1(loopback) and64:ff9b::a9fe:a9fe(cloud metadata) stay blocked. Unresolvable hosts fail closed but are reported as a DNS failure, not as a private-host block.OAuth 2.1: PKCE required for authorization-code exchanges. Refresh tokens are hashed at rest and rotate on use.
Rate Limiting: Per-IP rate limiting with configurable limits.
Files
fetchaller-mcp/
├── pyproject.toml # Python package config
├── src/fetchaller/ # Python source
│ ├── main.py # Entry point
│ ├── server.py # MCP server setup
│ ├── config.py # Configuration
│ ├── http/ # HTTP server (FastAPI)
│ ├── tools/ # MCP tools (fetch, search, reddit, aliexpress, alibaba, marketplace)
│ ├── content/ # Content processing (HTML→markdown, site-specific cleanup)
│ ├── search/ # Web search (Google / DDG / Brave / all)
│ ├── aliexpress/ # AliExpress MTop API client, product, search, reviews
│ ├── alibaba/ # Alibaba.com product and search extraction
│ ├── mouser/ # Mouser Search API client
│ ├── craigslist/ # Craigslist SAPI client + location resolution
│ ├── kijiji/ # Kijiji GraphQL API client + location resolution
│ ├── facebook_marketplace/# Facebook Marketplace GraphQL client
│ ├── marketplace/ # Unified marketplace search orchestrator
│ ├── ubiquiti/ # UniFi store/techspecs specs + installation guides
│ ├── homedepot/ # homedepot.com gateway GraphQL + homedepot.ca page state
│ ├── digikey/ # DigiKey API client (OAuth2 + product/search)
│ ├── cache/ # Response caching
│ ├── queue/ # Reddit rate limiting
│ └── security/ # SSRF, crypto, XSS
├── docker-compose.yml # Production deployment
├── docker-compose.local.yml # Local testing
├── Dockerfile # Container build
├── docs/ # Architecture & developer docs
├── CLAUDE.md # Instructions for Claude
├── README.md # This file
└── landing/ # Static site (fetchaller.com)
├── index.html # Landing page
└── llms.txt # LLM-readable project summary (llmstxt.org spec)Dependencies
wafer-py[browser]- HTTP transport with TLS fingerprinting, bot challenge bypass, and browser solver (Rust/BoringSSL + Patchright)mcp- MCP protocol SDKfastapi+uvicorn- HTTP serverbeautifulsoup4+markdownify- HTML to markdownpymupdf4llm- PDF to markdown extractionpyjwt- OAuth tokens
Testing
# Run tests
uv sync --extra dev
uv run ruff check src/ tests/
uv run pytest tests/ -x -q
# Test in Docker
docker compose -f docker-compose.local.yml up --build
curl http://localhost:6000/healthLicense
MIT
Available Tools
28 toolsbrowse_redditB
Browse a subreddit's posts. Returns metadata and URLs. Use mcp__fetchaller__fetch to read full post content.
Inputs: subreddit (required), sort, time, after, +2 more.
fetchA
Fetch any URL and return the page content as clean markdown. Handles HTML, JSON, XML, CSV, and PDF files. Use this tool for reading/fetching web pages - it has no domain restrictions. For discovering URLs via search, use the search tool. For reading URL content, use this tool.
Inputs: url (required), raw, body, method, +5 more.
get_alibaba_productA
Get Alibaba.com B2B product details including tiered pricing, MOQ, lead times, supplier info, and specifications. Accepts a numeric product ID or full URL.
Inputs: product_id (required), timeout.
get_aliexpress_productA
Get AliExpress product details including price, specifications, ratings, and recent reviews. Accepts a numeric product ID or full URL.
Inputs: product_id (required), timeout.
get_gcjobs_jobA
Full detail for one GC Jobs posting by the numeric poster ID in its URL. Reports 'Who can apply' first — the eligibility line that decides whether a federal posting is open to the reader — flags a posting whose closing date has passed (the board still serves 2001-era postings as though live), and, for the third of postings the hiring organization hosts on its own site, returns the outbound URL instead of an empty record.
Inputs: job_id (required).
get_gojobs_jobA
Full detail for one Ontario Public Service posting by its numeric Job ID. Reports the competition status, which can say a job is filled while the posting still reads as open.
Inputs: job_id (required).
get_indeed_jobA
Full detail for one Indeed posting: description, salary band, employment type, posting age, and whether Indeed marks it expired (an expiry date only when the page publishes one; Indeed stopped in November 2026). Use this to read a body that a UKG or PeopleSoft careers site gates behind a session.
Inputs: job_key (required).
get_linkedin_jobB
Get the full public detail for one LinkedIn job posting: description, seniority, employment type, job function, industries, and applicant count. Applying still requires a LinkedIn account.
Inputs: job_id (required).
get_unifi_manualA
Download a Ubiquiti UniFi installation guide (ui.com/qig/) as a readable document. Ubiquiti publishes no PDF and draws every word of these guides as vector artwork, so the guide cannot be read as text — this rebuilds its pages and writes them to disk. Use 'pdf' for one combined file, or 'png' to get one image per page that can be viewed directly. For a device's specifications or price, fetch its store or techspecs.ui.com page instead.
Inputs: url (required), format.
searchA
Search the web for titles, URLs, and snippets, then use fetch to read full pages. Specify provider: google (default choice, automatic fallback to DDG then Brave on failure), ddg, brave, or all (merge all three). Sources and fallback are disclosed. Google and Brave support pages 1-100; DDG supports 1-10 and is skipped beyond page 10 in all/fallback. Brave challenge recovery may take up to three minutes.
Inputs: query (required), provider (required), page.
search_alibabaB
Search Alibaba.com B2B products. Returns supplier listings with tiered pricing, MOQ, and supplier info.
Inputs: query (required), page, sort, timeout, +2 more.
search_aliexpressA
Search AliExpress products. Returns product listings with prices, ratings, and links. Best-effort — may fail if anti-bot protection triggers.
Inputs: query (required), page, sort, timeout, +2 more.
search_amazon_jobsA
Search amazon.jobs by title, location, and job category. Amazon publishes pay bands inline where local law requires it (including Canada), and those are surfaced as a Pay field. Its own search is fuzzy — a "product designer" query returns engineering reqs — so title and location are both re-applied against each posting. title and job_category search DIFFERENT things and return disjoint sets: category="Design" finds an "Art Director" that no title query reaches, while title="designer" finds a "Design Verification Engineer" that is not in the Design category. To survey a field rather than a job name, run the category too.
Inputs: sort, limit, title, country, +4 more.
search_apple_jobsA
Search jobs.apple.com by title and location. A place name is resolved to Apple's own location code automatically. Country scope comes from location only — the locale changes the storefront in the output URLs and nothing else.
Inputs: title (required), limit, locale, location, +1 more.
search_eightfold_jobsA
Search a company career site hosted by Eightfold AI — Microsoft, Netflix, PayPal, or any other Eightfold tenant by board URL. Filter by job title and location. The board ranks rather than filters, so the title is re-applied against each posting's own name and the number dropped is reported. Use fetch() on a returned posting URL for the full description.
Inputs: employer (required), sort, limit, title, +3 more.
search_gcjobsA
Search GC Jobs (emploisfp-psjobs.cfp-psc.gc.ca), the federal public service board — the only route to Government of Canada postings, which a plain fetch of the site cannot read (it returns a 'JavaScript must be enabled' shell over zero postings). Title, location, organization, minimum salary and language are real board filters, sent the way the board's own form sends them and confirmed against the page's echo of what it applied; title, location and salary are re-checked here. Rows come back soonest-closing first. Eligibility ('Who can apply') is not on the listing — many federal processes are restricted to current public servants, citizens, or a named area — so read a posting with get_gcjobs_job before relying on it. Give at least one filter.
Inputs: limit, title, language, location, +4 more.
search_gojobsA
Search gojobs.gov.on.ca, the Ontario Public Service (OPS) careers board. Every posting is an Ontario government job. The board has NO keyword search of its own — its only text input is an exact Job ID — so title is matched here against each posting's own title. Region, city, job category, career level and minimum salary are real board filters. Give at least one filter — an unfiltered listing is a dozen sequential postbacks.
Inputs: limit, title, location, min_salary, +3 more.
search_google_jobsA
Search Google's own careers board by job title and location. Google's free-text matching is very loose — a "product designer" search in Canada reports 38 matches of which two have a matching title — so each posting's own title and location are re-checked and both counts are reported separately.
Inputs: title (required), sort, limit, location, +3 more.
search_indeedA
Search ca.indeed.com. Carries salary bands on most result cards, and get_indeed_job will read the full body of any result — including postings a UKG or PeopleSoft careers site will not serve. Returns one page (~15 postings) per query: every deeper offset returns Indeed's sign-in wall, so refining the query changes which postings appear rather than how many.
Inputs: limit, title, location, radius_km, +2 more.
search_jobbankA
Search jobbank.gc.ca, the federal Job Bank — the highest-volume Canadian board, with salary published on most listings. A place name is resolved to Job Bank's own numeric city id first, because the board silently ignores an unresolved location and returns the whole country (64,000+ postings) as an ordinary successful search. Job Bank searches a RADIUS around a city, so nearby towns are included by design and the radius used is always reported.
Inputs: limit, title, location, radius_km, +2 more.
search_linkedin_jobsA
Search LinkedIn's public job board (no account needed). Filter by keywords, location, date posted, remote/hybrid/on-site, experience level, job type, and minimum salary. Returns title, company, location, posting date, and a linkedin.com/jobs/view URL. Call get_linkedin_job(job_id) for the full description.
Inputs: keywords (required), sort, limit, start, +10 more.
search_marketplaceA
Search Kijiji, Craigslist, and Facebook Marketplace simultaneously. Takes human-readable parameters (city name, category, price range) and returns grouped results from all platforms. Use fetch(url) to get full listing details for any result URL.
Inputs: query (required), location (required), sort, category, +4 more.
search_meta_jobsA
Search metacareers.com by title and office. Meta spells its offices "Vancouver, Canada" rather than "Vancouver, BC"; a place name is matched against its real office list and the list is returned when nothing matches.
Inputs: title (required), limit, location, remote_only, +1 more.
search_oracle_jobsA
Search a career site running on Oracle Recruiting Cloud (Oracle Fusion) — Oracle and Uber today, or any ORC tenant by careers URL or Fusion host. Returns the full posting text, location, department, and job family. The board filters by country but ignores city names, so a city is matched against each posting here.
Inputs: employer (required), limit, title, location, +2 more.
search_realtorA
Search Canadian homes for sale or rent on realtor.ca with full filters (location, price, beds, baths, property/building type, ownership). Returns listings with price, address, beds/baths, size, agent and a realtor.ca URL. Call fetch(url) on a listing URL for the full description, every property detail, and similar nearby homes.
Inputs: location (required), page, sort, min_beds, +7 more.
search_redditB
Search Reddit posts. Returns metadata and URLs. Use mcp__fetchaller__fetch to read full post content.
Inputs: query (required), sort, time, after, +3 more.
search_uber_jobsA
Search Uber's job board by title and location. Uber runs on Oracle Recruiting, which answers anonymously with the full posting text, so results carry title, department, team, level, location, and description.
Inputs: title (required), limit, location, strict_title, +1 more.
search_workday_jobsA
Search any Workday board (*.myworkdayjobs.com) by job title and location — Adobe, NVIDIA, Salesforce, Autodesk, CrowdStrike, ServiceTitan, Motorola Solutions, or any tenant by board URL. Resolves the tenant's own location facet, whatever it is named, and filters the title client-side because Workday's searchText is unreliable (on some tenants it silently drops real matches).
Inputs: employer (required), limit, title, location, +1 more.
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TDQS
Scored across 28 tools
The generic fetch/search pair is clean, and most verticals (Reddit, Alibaba, AliExpress, realtor, UniFi) are clearly distinct. But the surface carries 13 job-board searchers plus several generic ATS searchers (eightfold, workday, oracle), and search_oracle_jobs explicitly covers Uber while search_uber_jobs also exists — a direct overlap an agent must reason through. Descriptions disambiguate well, but selection depends on knowing which board hosts which employer.
Almost everything follows a verb_noun snake_case pattern (search_* / get_*, grouped by source), which is highly predictable. The deviations are the bare verbs `fetch` and `search`, plus `browse_reddit` where sibling sources use `search_reddit` — same concept, two different verbs.
28 tools is heavy and sits above the comfortable 15-tool band, largely because each job board got its own search tool. Each tool is scoped to a real, distinct source, so nothing is gratuitous, but the sheer breadth imposes a discovery cost on the agent.
Generic fetch/search backs every vertical, so agents can always fall back to reading a URL, and the highest-value boards even get dedicated get_* detail tools (LinkedIn, Indeed, gojobs, gcjobs). Gaps are minor: no per-posting detail tool for the ATS boards (Workday, Eightfold, Oracle, Job Bank) and no dedicated Reddit/Marketplace item reader, both mitigated by documented fetch(url) workarounds.
Maintenance
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