Scavio provides a unified API with 33 tools to connect AI agents to Google, YouTube, Amazon, Walmart, TikTok, Instagram, and Reddit through a single interface.
Google Search
Perform web searches with structured results including news, images, maps, knowledge graph, and related searches.
YouTube
Search for videos, channels, and playlists with filters for duration, upload date, and sort order.
Retrieve detailed metadata (title, views, likes, duration, etc.) for a specific video by ID.
Amazon
Search product listings with price and sort filters across multiple regional domains.
Get full product details (description, price, rating, variants, seller info) by ASIN.
Walmart
Search product listings with price and delivery speed filters.
Get full product details by Walmart product ID.
TikTok
Access user profiles, posts, and video details with engagement stats.
Retrieve comments and replies on videos.
Search videos and users by keyword, get hashtag details and videos.
List a user's followers and followings.
Get user profiles, posts, Reels, tagged posts, and active stories.
Retrieve post details, comments, and replies.
Search users and hashtags by keyword.
List a user's followers and followings.
Search posts across all subreddits with sort options.
Retrieve full post details including body, score, and threaded comments by URL.
Account Management
Check your credit balance, current plan, and monthly usage stats with get_usage.
Search product listings and retrieve full product details by ASIN with price and sort filters.
Perform web searches with structured results, news, images, maps, and knowledge graph.
Search Reddit posts by query with sort and pagination, and retrieve full posts with threaded comments.
Access TikTok user profiles, posts, videos, comments, hashtags, and user relationships (followers/following).
Search product listings with price and delivery filters, and retrieve full product details by product ID.
Search videos, channels, and playlists, and retrieve video metadata including title, views, likes, and duration.
Scavio is a unified Web Search API and MCP server that gives AI agents web search, page extraction, and structured data from e-commerce, social, travel, jobs, real-estate, app-store, ad-library and company-filing sources. 191 tools across 31 platforms plus Extract, one API key.
The 22 platforms added in 0.13.0 are opt-in. Registering all 191 tools puts 262KB of tool definitions — roughly 70k tokens — into every session before you type anything. So the default is the surface 0.12.x already had, plus Extract: 106 tools, 102KB. Upgrading never removes a tool you were using. Everything else is one env var away: see Choosing which tools load.
Connect directly to Scavio's remote MCP server without any local installation:
https://mcp.scavio.dev/mcpPass your API key via the x-api-key header. Get your key at scavio.dev.
Related MCP server: agent-reach-mcp
Prefer to run the server on your own machine? Use npx with no clone or build. The server runs over stdio and only needs your SCAVIO_API_KEY.
claude mcp add scavio -e SCAVIO_API_KEY=YOUR_SCAVIO_API_KEY -- npx -y @scavio/mcp-server{
"mcpServers": {
"scavio": {
"command": "npx",
"args": ["-y", "@scavio/mcp-server"],
"env": {
"SCAVIO_API_KEY": "YOUR_SCAVIO_API_KEY"
}
}
}
}Requires Node.js 20+. Get your API key at scavio.dev.
claude mcp add scavio --transport http --url https://mcp.scavio.dev/mcp --header "x-api-key: YOUR_SCAVIO_API_KEY"Add to claude_desktop_config.json (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"scavio": {
"command": "npx",
"args": ["-y", "@scavio/mcp-server"],
"env": {
"SCAVIO_API_KEY": "YOUR_SCAVIO_API_KEY"
}
}
}
}Requires Node.js 20+. Restart Claude Desktop after saving.
Or add to .cursor/mcp.json in your project root or ~/.cursor/mcp.json for global:
{
"mcpServers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Create .vscode/mcp.json in your project root:
{
"servers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Go to ChatGPT > Settings > Apps & Connectors
Click Add custom connector
Enter the MCP server URL: https://mcp.scavio.dev/mcp
Configure authentication with your API key
Add to cline_mcp_settings.json (open via Cline sidebar > MCP Servers > Configure):
{
"mcpServers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Add to settings (Cmd+,):
{
"assistant": {
"mcp_servers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}
}{
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}Scavio exposes 191 tools. Loading all of them costs 262KB of tools/list —
roughly 70k tokens of context in every session before the user has said anything,
and more tools than some clients will accept at all. So the server registers a
curated subset by default and lets you pick the rest. The sizes below are
measured, not estimated: npm run toolslist reproduces them.
SCAVIO_PLATFORMS is a comma-separated allowlist of platform keys:
Value | Registers |
(unset) | Everything 0.12.x had, plus |
| every platform — 191 tools, 262KB |
| just those platforms — 11 tools, 20KB |
| the default set plus two more — 58 tools |
| no platform tools, only |
Keys are matched case- and punctuation-insensitively, so meta-ads, metaads
and META_ADS are the same thing, and twitter resolves to x. An unknown key
is logged to stderr and skipped rather than failing the server.
get_usage always registers — it is free, and it is what every install guide
tells you to call to check the server works.
Platform keys: extract, google, youtube, tiktok, instagram,
reddit, x, linkedin, threads, kuaishou, amazon, walmart, ebay,
target, homedepot, tiktok-shop, booking, airbnb, tripadvisor,
yelp, zillow, redfin, indeed, glassdoor, appstore, googleplay,
g2, capterra, googleads, metaads, sec, companieshouse
{
"mcpServers": {
"scavio": {
"command": "npx",
"args": ["-y", "@scavio/mcp-server"],
"env": {
"SCAVIO_API_KEY": "YOUR_SCAVIO_API_KEY",
"SCAVIO_PLATFORMS": "extract,google,zillow,redfin"
}
}
}
}The hosted server has no env var to read, so pass the allowlist per connection — either as a header or as a query parameter:
{
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY",
"x-scavio-platforms": "extract,google,sec,companieshouse"
}
}
}https://mcp.scavio.dev/mcp?platforms=allNothing to do. The default set is exactly the 10 platforms 0.12.x registered, plus Extract — every tool you were using still loads, and the context cost is unchanged. Walmart grew from 2 tools to 7, so the count moves 100 → 106.
The 22 platforms added in 0.13.0 are opt-in. Add them additively:
SCAVIO_PLATFORMS=default,zillow,redfin,secOne breaking fix worth knowing: search_walmart previously sent
fulfillment_speed: "anytime" on every call, which the API rejects. The
parameter is now today or tomorrow with no default.
Every tool costs 1 credit per call unless its section says otherwise. Several
platforms price per endpoint (YouTube, Instagram, LinkedIn, Kuaishou) or per
request body (Extract, Threads, Walmart); get_amazon_options and get_usage
are free.
Tool | Description |
| Read any web page and return it as clean Markdown, plain text, or raw HTML |
Extract is tier-priced by the mode parameter, not flat: normal (plain fetch)
and advanced (full JavaScript rendering) cost 1 credit, ultra (residential
proxy, for hard bot walls) costs 2. Start at normal and escalate only when the
content comes back empty or blocked. You are billed only on a successful
extraction — a dead link, a bot wall or a timeout costs nothing. There is no
pagination: the whole page comes back in one call.
Tool | Description |
| Web search (v2) with organic results, ads, and AI Overview |
| AI Mode conversational answer with cited sources |
| Search Google Maps for local businesses |
| Place details: address, phone, hours, rating |
| Reviews for a place with pagination |
| Product listings with price, store, and rating |
| Product detail and sellers |
| More sellers for a product (pagination) |
| Flight itineraries with prices and stops |
| Hotel search with prices and ratings |
| Hotel property details |
| News results by query, topic, story, or publication |
| Interest-over-time and related queries |
| Trending searches |
Tool | Description |
| Search videos, channels, and playlists |
| Search short-form videos |
| Get search autocomplete suggestions |
| Get full video details, chapters, and captions |
| Deprecated alias of |
| Get comments on a video with pagination |
| Get replies to a specific comment |
| Get a video transcript as plain text or SRT |
| Get videos related to a video |
| Search channels by keyword |
| Get channel profile by ID, handle, or URL |
| List a channel's videos |
| List a channel's Shorts |
| List a channel's community posts |
| Resolve a handle or URL to a channel ID |
| Get direct media stream URLs for a video |
Credit cost varies: get_youtube_transcript costs 8, get_youtube_streams 3,
search_youtube and search_youtube_shorts 2, and every other YouTube tool 1.
get_youtube_related accepts a cursor but never returns one, so treat it as a
single page.
Tool | Description |
| Search product listings across 22 marketplaces (no sort option) |
| Get full product details by ASIN |
| List every seller offering an ASIN, with buy-box winner |
| List the supported marketplaces and their country codes (free) |
Tool | Description |
| Search product listings with price and delivery filters |
| Get full product details by product ID |
| Customer reviews with ratings, text, author, date and the rating breakdown |
| Products within a category, same product shape as search |
| The buy-box offer for a product: price, seller, condition, buy-box flag |
| Marketplace seller storefront: name, rating, Pro Seller badge, business details |
| A seller's catalogue; |
Walmart is priced by the domain parameter, not at a flat rate: com (US,
default) and ca cost 1 credit, com.mx costs 2. Only search_walmart and
get_walmart_category accept domain, so only those two can cost 2 — the other
five are always 1. The id-keyed tools are US-only, because walmart.ca product
pages cannot be fetched.
Two shapes to plan for. get_walmart_offers returns the buy-box winner only —
Walmart server-renders just that one offer, so expect a single row even when
total_offer_count is higher. And get_walmart_seller_products is capped at
roughly the first 40 items with no page or cursor parameter; read total_count
to know you are looking at a slice. Both seller tools need the NUMERIC
seller_catalog_id from a product, search or offers response — the GUID-form
seller_id in those same responses 404s.
Tool | Description |
| Get user profile (bio, follower/following counts, likes) |
| List a user's videos with stats |
| Get detailed info for a single video |
| Get comments on a video |
| Get replies to a specific comment |
| Search videos by keyword |
| Search users by keyword |
| Get hashtag details and stats |
| List videos for a hashtag |
| Get a user's follower list |
| Get a user's following list |
Tool | Description |
| Get user profile (bio, follower/following/post counts) |
| List a user's posts with pagination |
| List a user's Reels with pagination |
| List posts a user is tagged in |
| Get a user's active stories |
| Get a single post by url, media_id, or shortcode |
| Get comments on a post |
| Get replies to a specific comment |
| Search users by keyword |
| Search hashtags by keyword |
| Get a user's follower list |
| Get a user's following list |
Instagram is priced per endpoint, not at a flat rate: get_instagram_user_posts
costs 2, get_instagram_post and get_instagram_comment_replies cost 8, and the
other nine tools cost 10. The 10-credit endpoints hedge two upstream providers and
bill both legs, which is what the price reflects.
Tool | Description |
| Search Reddit posts by query, relevance order, cursor pagination |
| Get a single post by URL or id (no comments; see below) |
| Get search autocomplete suggestions |
| Get a post's top-level comments with pagination |
| Get replies to a specific comment |
| Get subreddit metadata and subscriber count |
| List a subreddit's post feed |
| Get a redditor's profile |
| List a redditor's submitted posts |
| List a redditor's comments |
| Get the site-wide popular feed |
| Get current trending search queries |
Every Reddit tool costs 1 credit. Two things to know: search_reddit takes a query
and a cursor only - there is no sort or post-type filter, results come back in
relevance order - and get_reddit_post returns a flat post object with no comments,
so call get_reddit_post_comments with the post id for those. Reddit is the slowest
platform here, typically 5-15 seconds per call.
Tool | Description |
| Search tweets and people by keyword |
| Get full details for a single tweet |
| Get replies to a tweet (ranked or chronological) |
| List users who retweeted a tweet |
| Get a user's profile by handle |
| List a user's tweets |
| List a user's tweets and replies |
| List a user's media tweets |
| List a user's followers |
| List accounts a user follows |
| Get trending topics for a country |
get_x_user_tweets, get_x_user_replies and get_x_user_media return a
next_cursor but no has_more, so page until the cursor is absent or the timeline
comes back empty.
Tool | Description |
| Get a member's full profile, experience and education |
| Get a member's about/overview sections |
| List a member's recent posts (up to 50) |
| Get a company's profile, locations and related companies |
| List a company's recent posts (up to 50) |
| Search for jobs by keyword and location |
| Get full details for a job listing |
| Get full details for a single post |
| Get comments on a post, 10 per page |
All take a vanity handle, slug or id, or a full LinkedIn URL. Credit cost varies:
get_linkedin_person, get_linkedin_person_about, get_linkedin_company and
get_linkedin_post cost 1; get_linkedin_person_posts,
get_linkedin_company_posts, search_linkedin_jobs and
get_linkedin_post_comments cost 10 per page; get_linkedin_job costs 30.
The upstream provider retired the datasets behind member contact info, the
company employee directory, per-company job listings, people search and post
search, so those five tools were removed. get_linkedin_company still returns a
small sample of featured employees, and search_linkedin_jobs with a company
name substitutes for per-company listings.
Tool | Description |
| Search TikTok Shop products by keyword (US catalog, exact prices) |
| Keyword autocomplete for a partial query, 8 regions |
| Full product detail (no price; ~44% of search IDs resolve) |
| Paginated product reviews, up to 200 per call |
| The global category tree (28 top-level, 240 nodes) |
| List products under a category ID, with exact prices |
| List a seller's catalog, 30 per page, with exact prices |
| Resolve a TikTok Shop URL or share link to a product/shop ID |
Two things to know: get_tiktok_shop_product does not return a price (TikTok masks it on the
product page upstream) - exact prices come from search_tiktok_shop,
get_tiktok_shop_shop_products and get_tiktok_shop_category_products. And only about 44% of the
product IDs returned by search resolve on get_tiktok_shop_product (11 of 25 measured), because
upstream has no detail data for the rest. That miss is signalled by the HTTP 404 status, not by any
field in the response body, and it is a normal outcome rather than an error to retry - the tool
returns it as a plain result with status: "no_detail_data" so agents skip the product instead of
looping. For an id that will not resolve, get_tiktok_shop_product_reviews is often still usable:
across 8 measured ids that failed on detail, 8 of 8 returned HTTP 200 on reviews and 7 of 8 returned
at least one review.
Tool | Description |
| Profile details for a Threads user, by |
| A user's Threads posts, cursor-paginated |
| A user's replies, cursor-paginated |
| A single post by id or threads.net URL |
| Replies to a post, cursor-paginated |
| Profiles matching a name or handle - the only search Threads exposes |
Threads is priced by how you address a user, not per endpoint: 2 credits when you pass user_id, 4 credits when you pass username. Only get_threads_profile, get_threads_user_posts and get_threads_user_replies accept a username; the other three are always 2. Prefer user_id - a handle buys a second upstream lookup.
Tool | Description |
| Profile details for a Kuaishou user (10 credits) |
| A user's top posts, cursor-paginated |
| A user's current live-stream status |
| Turn a Kuaishou share link into a user id |
| A single video by photo id or URL (2 credits) |
| Comments on a video, cursor-paginated |
| Replies under a root comment |
| Up to 20 videos in one call (40 credits) |
| Mixed-result search across Kuaishou (10 credits) |
| Video search results (10 credits) |
| User search results (10 credits) |
| Live-stream search results (10 credits) |
| Posts under a hashtag, cursor-paginated |
| Hot, live, shopping, brand and music leaderboards |
Kuaishou is priced per endpoint, not at a flat rate: get_kuaishou_profile and all four search tools cost 10, get_kuaishou_video 2, get_kuaishou_videos_batch 40, and every other tool 1.
Tool | Description |
| Search live or SOLD listings: price, condition, bids, shipping, seller feedback |
| One listing in full: price, condition, images, item specifics, shipping, returns, auction state |
| Seller profile card: store name, feedback score, items sold, followers, location |
1 credit per call. get_ebay_seller is a profile card and cannot enumerate a catalogue - list a seller's inventory with search_ebay and seller set and no keyword. sold: true searches completed listings that actually sold; on that view eBay publishes no headline count, so total_results is null. per_page accepts only 60, 120 or 240.
Tool | Description |
| Search Target.com: prices, ratings, badges and promotions |
| Products in a category, same shape as search plus the breadcrumb |
| Product details by TCIN: price, images, specifications, variants, fulfillment |
| Reviews with the rating breakdown, per-attribute averages and guest photos |
1 credit per call. get_target_product and get_target_reviews are single-shot; search and category page with page + count.
Tool | Description |
| Search Home Depot: price, brand and model, ratings, per-store pickup/delivery |
| Full item detail: pricing, media, spec table, dimensions, documents, return policy |
| Full review bodies, rating distribution, per-attribute ratings, seller responses |
2 credits per call. Search page size is fixed at 12 and cannot be changed. Reviews return 30 per page; total_pages is the last page that exists and asking past it is a 404.
Tool | Description |
| Properties for a destination and stay: live nightly price, review score, room type |
| One property in full: rooms and rate plans, facilities, house rules, policies, images |
| Guest reviews with the score breakdown by category and Booking's own summary |
1 credit per call. Search returns 25 properties per page; get_booking_hotel and get_booking_reviews are single-shot.
Tool | Description |
| Stays with stay-total and per-night price, the full discount ledger, rating, coordinates |
| One listing in full: description, capacity, grouped amenities, host, house rules, rating breakdown |
| Review bodies with per-review rating, date and reviewer profile |
1 credit per call. search_airbnb takes page XOR cursor - sending both is rejected, and cursor wins. 18 listings per page. get_airbnb_reviews pages with limit + offset.
Tool | Description |
| START HERE - resolve a place or business name to the |
| Restaurants, hotels or attractions in a geo, TripAdvisor-ranked |
| One location in full: rating histogram, sub-ratings, city ranking, amenities, first review page |
| A page of reviews: rating, trip date and type, reviewer profile, management response |
2 credits per call. Start with resolve_tripadvisor_location for the geo_id / location_id pair everything else needs. Search returns 30 per page and a page past the last is a 404, not an empty result. Reviews return 15 per page for restaurants and 10 for hotels and attractions, so category must match the location's own type on any page past the first.
Tool | Description |
| Businesses in Yelp's ranked order: rating, review count, price band, categories, hours |
| One business in full: per-star histogram, contact, hours, amenities, health inspections, Q&A |
| A page of reviews: rating, full text, author profile, photos, owner response |
2 credits per call. Yelp fixes the page size at 10. get_yelp_business already includes the first page of reviews at no extra cost. A review page past the last is a 404, not an empty result.
Tool | Description |
| Listings in a region: price, beds, baths, living area, Zestimate, coordinates, days on market |
| Full listing: price and price history, Zestimate, tax history, RESO facts, schools, photos |
| A Zillow AGENT's profile and reviews, specialties, licenses, service areas, sales counts |
1 credit per call. Only search_zillow paginates. get_zillow_agent_reviews is an AGENT profile, not a property.
Tool | Description |
| Listings: price, price per sqft, beds, baths, living area, lot size, year built, photos |
| Full listing: Redfin Estimate, MLS fact sheet, price and tax history, schools, climate risk, comps |
| Market stats for a region: median list and sale price, sale-to-list ratio, days on market, compete score |
1 credit per call. search_redfin pages with page + limit, up to 350 listings per page; the other two are single-shot.
Tool | Description |
| Job postings: title, employer, rating, location, salary range, job type, apply route |
| One posting in full: description text and HTML, structured salary, benefits, original ATS link |
| Employer profile: industry, HQ, size, revenue, CEO approval, per-category ratings, open roles |
| Employee reviews with per-category ratings, pros/cons, reviewer job title and location |
2 credits per call. Job search returns 10 postings per page, company reviews 20 per page. get_indeed_job and get_indeed_company are single-shot.
Tool | Description |
| START HERE - resolve a company name to the |
| Employer profile: ratings, star distribution, CEO approval, size and revenue bands, awards |
| Up to three full reviews with per-axis scores and employer response, plus complete rating statistics |
| Salaries by job title: base-pay and total-pay percentiles P10-P90, sample counts, pay period |
1 credit per call. Start with resolve_glassdoor_company for the employer_id. Only get_glassdoor_salaries paginates (10 job titles per page; page_count is how many exist). get_glassdoor_reviews returns up to three full reviews plus complete rating statistics - it is not a paginated review feed.
Tool | Description |
| Up to 200 fully-shaped apps - doubles as a bulk metadata fetch and a publisher lookup |
| Full listing: developer identity, price, all-time and current-version ratings, release notes, screenshots |
| A page of reviews: star rating, title, full text, author, and the app version reviewed |
1 credit per call. Reviews page 1-10 at 50 per page and stop hard at page 10: 500 reviews per storefront is Apple's anonymous ceiling, and you reach further by asking a different country. Search and app detail do not paginate.
Tool | Description |
| Ranked apps: package name, developer, rating, install count, price and IAP range, screenshots |
| Full store listing: the real install count, star histogram, IAPs, permissions, Data safety table |
| A page of reviews: star score, full text, thumbs-up count, developer reply, app version |
2 credits per call - a separate namespace from google and not on the Google-exempt price. Reviews are cursor-paginated, and the cursor is opaque, single-use and encodes the sort as well as the position, so send it back with the same sort it came from. A cursor past the last review is a 404. Search and app detail do not paginate.
Tool | Description |
| Search B2B software: star rating, review count, vendor, categories; each row carries |
| Full profile: per-star histogram, pricing editions, feature groups, integrations, alternatives, AI pros/cons |
| A page of reviews: rating, likes/dislikes, problems solved, reviewer firmographics, validated flags |
5 credits per call - the most expensive platform on Scavio. search_g2_software pages with page + limit (capped at 100 on our side); get_g2_reviews is fixed at 10 per page and paginates well past the 10 pages G2's own widget links to. get_g2_product is single-shot.
Tool | Description |
| Search B2B software: 20 ranked products with rating, review count and paid-placement flag |
| Full profile: per-star histogram, four scored criteria, pricing table, features, plus 25 recent reviews |
| A page of reviews: overall plus five per-criterion scores, pros, cons, alternatives considered |
2 credits per call. Only get_capterra_reviews paginates: 25 per page, capped at page 100 - past it Capterra answers 200 with page one, so check what came back. get_capterra_product already includes the 25 most recent reviews.
Tool | Description |
| START HERE - resolve a brand name or domain to the |
| Every ad Google is running for one advertiser, with first/last seen dates and days actually run |
| One creative in full - the only tool carrying size variations, impression bucket and region breakdown |
1 credit per call. Start with resolve_google_ads_advertiser to turn a brand name or domain into an advertiser_id. search_google_ads is cursor-paginated at 100 ads per page - re-send the same filters alongside the cursor. get_google_ads_creative is the only tool carrying a creative's history, region breakdown and impression bucket.
Tool | Description |
| Search the Meta Ad Library with full creative: ad copy, headline, CTA, media, platforms, run dates |
| Every ad a Facebook Page is running, by numeric page id, with the same creative detail |
| One ad in full by archive id: creative, advertiser, run dates, platforms, political disclosure |
1 credit per call, and every cursor page is another credit: page 1 returns 30 ads, then 10 per page thereafter, so the cost of walking a whole query scales with depth. search_meta_ads and get_meta_ads_advertiser both cursor-paginate - walk has_next_page. get_meta_ad is single-shot.
Tool | Description |
| START HERE - resolve a company name or ticker to the CIK everything else is keyed by |
| Filer profile: legal and former names, SIC industry, EIN, LEI, fiscal year end, tickers |
| A page of one filer's filings: accession number, form, dates, 8-K item codes, document links |
| Every value a filer reported for one XBRL concept, newest first, with its source filing |
| The index of every XBRL concept a filer reports - use it to find what to ask |
| EDGAR full-text search, 2001-today, with facets by company, form, industry and state |
1 credit per call on the official free EDGAR JSON API. Start with resolve_sec_company to turn a name or ticker into a CIK. get_sec_filings pages with page + limit; search_sec_filings pages up to 100, because the index refuses a result window past 10,000.
Tool | Description |
| START HERE - search the UK register by name for the |
| Full register entry: status, type, dates, registered office, SIC codes, accounts due dates |
| Officers current and resigned: role, appointment and resignation dates, nationality, DOB |
| Filings most recent first: date, type code, description, link to the filed PDF |
1 credit per call on the official UK register. Start with search_companies_house for a company_number. Search returns 20 per page and is capped at page 50 - the register serves a 1000-result window per term whatever hit count it prints, then answers page 51 with a 416. Officers (35/page) and filing history have no upper page bound; past the last page they return an ordinary 200 with an empty list, which looks identical to having none.
Tool | Description |
| Check credit balance, plan, and usage stats |
Scavio is a unified search API for AI agents and a data API for developers. One key, structured JSON, no scraping or proxies:
Google Search API — SERP results, news, images, maps, and knowledge graph
Extract — read any URL as Markdown, plain text or raw HTML
Amazon Product API and Walmart Product API — product search and details, alongside eBay, Target and Home Depot
TikTok API, Instagram API, Reddit API, X API, LinkedIn API, and YouTube API — social and video data
Travel and local — Booking.com, Airbnb, Tripadvisor, Yelp
Apps, software reviews and ad libraries — App Store, Google Play, G2, Capterra, Google Ads Transparency, Meta Ad Library
Company filings — SEC EDGAR, Companies House
Teams use it as a SerpAPI alternative with structured multi-platform data — see Tavily vs Scavio for a head-to-head comparison.
Get a free Search API key at scavio.dev.
Hosted MCP with 91 agent tools: X, domains, SEO, Maps, Trends, Search, YouTube, TikTok, and more.
Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.
Pocket Agent (aipocketagent.com) MCP server — read tools for personas, apps, and product info.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/scavio-ai/scavio-mcp'
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