"A server for finding pictures of dogs to post on Reddit r/DOG" matching MCP tools:

• get_subreddit

  Reddit

  Get posts from a REDDIT subreddit — r/LocalLLaMA, r/python, r/news. PREFER for "what are people posting in r/<sub>", "whats new on r/<sub> today", "top posts on Reddit this week". Sorted hot (default), new, top, rising, or controversial. For "top"/"controversial" pass a time window (day/week/month/year/all) — e.g. "top posts in r/programming this week". Returns post id, title, author, permalink, date, and a body snippet. (Vote score and comment count are not available via Reddit RSS.)

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• hundesteuer_lookup

  german-tax-data

  Look up the German dog tax (Hundesteuer) for a city: annual rate for one or more dogs, listed-dog (Listenhund) surcharge, the city's pricing model, its rank among the largest cities, plus the official source and Stand. Rates verified against each municipal Satzung.

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• scrape_reddit

  GoCreative Agent API

  Scrape a Reddit post or subreddit (title, score, comments). Same domain as lookup/reddit but with full thread parsing. Use for in-depth research. Example call: {"subreddit_or_url": "r/MachineLearning"} Cost: $0.005–$0.05 USDC on Base per call.

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• get_chain_controls

  commutescout

  Current chain-control requirements on California mountain highways. Data: Caltrans chain-control status for fixed checkpoints on mountain routes (I-80 Donner, US-50 Echo Summit, SR-88, SR-89, and others). Levels: R-1 = chains OR snow tires required; R-2 = chains required except 4WD/AWD with snow tires on all four; R-3 = chains on ALL vehicles (rare, usually precedes closure). Refresh: 5-minute cache. Filters: route (e.g. "80", "US-50", "SR-88"); center "lat,lon" with radius_km for all checkpoints around a place (e.g. around Truckee), whatever highway they are on. Off-season (roughly May-October) there are usually no controls anywhere; the response says so explicitly rather than returning an empty list. Chain requirements can change hour to hour in storms - tell the user the data_as_of time and to carry chains anyway when snow is possible.

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• add_comment

  Dock

  Post a new comment on any target in a workspace: a row, a cell, a doc text range, an html element, an entire surface, or the workspace itself. Polymorphic target shape mirrors the REST POST /api/workspaces/:slug/comments. For threading, pass `parentId` to hang the new comment as a reply (the server flattens nested replies to single depth and auto-unresolves a resolved parent). Mentions are an array of `{ kind: 'user'|'agent', id, label }` triples; the server validates each mention's access to the workspace before accepting. Fires `comment.added` (and `comment.unresolved` when a reply reopens a resolved parent). For replies to existing comments where you don't want to reconstruct the target, prefer `reply_to_comment` which derives the target from the parent. Editor or commenter role required.

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• decompose_drivers

  Autario Data Analytics Platform

  CONFOUNDER-AWARE DRIVER ANALYSIS: fits ONE multiple regression of the target on ALL candidates jointly, so each effect is estimated holding the other candidates constant. Distinguishes "it was the weather" from "a promo ran at the same time": candidates too entangled to separate (VIF > 5 or pairwise |r| > 0.8) are flagged not_separable (named pairs) instead of ranked with a confident wrong number. Returns per candidate: standardized coefficient (effect size), raw slope, p-value, VIF, pairwise r (for the pairwise-vs-joint contrast), and the best lead/lag vs the target. Use this instead of find_drivers when candidates may overlap (promo calendars, weather, seasonality) or when you need honest independent effect sizes. Omit entity for entity-less private KPI series. 2-15 candidates.

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• ask_the_graph

  sniff-mcp

  THE INSTRUMENT — ask a free-form CROSS-SPECIES genetics question and get FILTERED, HONEST HINTS (never a confident guess). It compiles your question into a typed query plan over the dog<->human edge-graph, runs it deterministically, and scores each answer PATH by its weakest edge — returning ranked hints with an evidence TIER (fact / computational / inferred) + citations, or an honest ABSTAIN with a demand signal when the graph can't answer. BEST FOR model-discovery / translational traversal: 'which dog breeds or genes model human <disease>', 'what is the dog ortholog of <gene>', 'what dog disease is phenotypically like <human disease>'. Answers are HYPOTHESIS-GENERATING, not clinical claims: a `fact` hint = an OMIA-curated model-of; a `computational` hint = a conserved 1:1 dog ortholog (a candidate — never 'dogs get this disease'); `inferred` = shared cross-species phenotype. Returns {plan (what it asked the graph), hints:[{answer, tier, score, path (the cited edges), weakest_edge, provenance}], abstain, demand_signal}. Set narrate=true for a gated one-line prose summary per hint (faithful-or-honest-template; it can never fabricate). Use `ask` instead for owner-facing breed/disease/carrier questions; use THIS for human-disease -> dog-model cross-species queries.

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• social_search

  socialbridge-mcp

  Search a single network for posts matching a query, returned as the unified Post[] schema and tagged with its platform. Keyless on TikTok, YouTube, and Pinterest. Instagram, Twitter/X, Reddit, and Facebook need operator-side credentials (returns credentials_required until set). Snapchat and Threads do not support keyless search (returns not_supported); LinkedIn is quarantined. To fan one query across every network at once, use search_all.

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• post_process_mesh

  AXIS Avatar Foundry

  Post-process a RAW generated mesh (normalize → mesh-repair → rig/skin → validate → export) and return the finished, validated GLB as base64. The inline counterpart of axis_process (which needs a server file path) — the generation post-process step, callable by an LLM/agent that holds the mesh bytes (e.g. fresh TRELLIS output) or a URL to them. Provide the mesh EXACTLY one of two ways: inline as base64 (glb_base64) or as an HTTPS URL (mesh_url) — the URL's host must be on this server's operator-configured allowlist (off by default; an unconfigured allowlist refuses every mesh_url call, it is never open to an arbitrary host). Providing both or neither is a real input error. [Paid: $1.50 USDC via x402 for unauthenticated calls on the hosted /mcp endpoint; settled only on a successful (non-error) result.]

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• keyword_monitor_list

  Prowlo — Reddit & X for AI agents

  List your Keyword Monitor entries (the dashboard's "Keywords" page): each searches all of Reddit once a day for its query and ingests matches into your Dataset. Returns your keyword quota (used/max; max -1 = unlimited). Add via keyword_monitor_create; pause via watcher_update; delete via watcher_delete (ids are Watcher ids). NOT the tagging rules — see tag_rule_list. Not a live Reddit call — free, rate-limited only. (requires a free Prowlo account — call it to get a signup link)

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• get_corpus_coverage

  SRI — MCP Server Inspector

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

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• propose_move

  AfterLaunch

  Put a discussion thread you found onto the founder's growth board as a pending move. WHEN: you have read a thread on a community they work (a subreddit, Hacker News, a forum) that the board does not carry, and can say why it is worth their twenty minutes. It lands at the tail of the board, keyed to the thread so a repeat lands on one row, and comes back with its posture: on Reddit or Hacker News that is draft_only, meaning you draft and the founder posts, and you must never post there yourself. Only community_reply and community_answer. Free; 'act' scope; a fixed number a day. A thread already on the board hands back its existing move id. WHAT COMES BACK: the move id and posture, so you can save a draft with update_draft next.

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• amazon_search_results

  amazon-product-research-mcp

  Fetch a LIVE Amazon search-results page (SERP) right now — the ranked organic + sponsored listings a shopper would see this minute for a query, with position, ASIN, title, price, rating and badges. Use when the user wants CURRENT ranking/visibility: 'who ranks for "dog bed" on Amazon right now', 'is my ASIN on page 1 for this keyword', 'what's sponsored vs organic for this search'. This is a real-time fetch (takes ~10-40 seconds) — for warehouse keyword search use search_products; for buying advice use shopping_search. Amazon marketplaces only; up to 3 pages per call.

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• byte_buy_data

  byte-protocol

  Buy a single data packet from any PayPerByte feed via the x402 payment gateway. No subscription, no allowance, no prior on-chain setup — pay-per-call USDC settlement. The MCP server signs an EIP-3009 transferWithAuthorization on behalf of the wallet whose PRIVATE_KEY is configured, the x402 facilitator submits the tx, and the data comes back inline with the on-chain settlement tx hash. Use byte_subscribe instead if you want a continuous stream of broadcasts from a publisher. The catalog of available feed slugs lives at https://x402.payperbyte.io/feeds (free GET). GET data feeds (weather, earthquakes, …) need only `feed`; the POST oracles (see https://x402.payperbyte.io/feeds for the live list and each feed's `method`) additionally require a JSON `body` (the query) — supplying `body` switches this call to POST. Requires PRIVATE_KEY env var on the MCP server and USDC on the configured wallet. NOTE: paid feeds settle REAL USDC on Base mainnet (eip155:8453) — the exact price is quoted in the 402 challenge (flagship merchant-screen: $0.10/verdict, a pre-settlement counterparty screen — the signed EIP-712 attestation over the exact response bytes proves delivery, not that the verdict itself is correct). Use a dedicated wallet holding only what you intend to spend.

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• watcher_create

  Prowlo — Reddit & X for AI agents

  Create Watchers — including KEYWORD MONITOR entries (the dashboard's "Keywords" page): pass platform "reddit_search" with the search query as `channel`; each searches all of Reddit daily and draws from its own per-plan keyword limit (keyword_monitor_create is the one-query shortcut). Community watchers (a subreddit or HN feed) are the default platform. A Watcher watches exactly ONE community/query, so each `sources` entry creates its own Watcher (its name is derived from the source, e.g. "r/saas"). Subject to your plan's Watcher limits. Not metered. (requires a free Prowlo account — call it to get a signup link)

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• framefetch_platform_capabilities

  framefetch

  JSON matrix of data types (metadata, insights, transcript, frames, comments) per platform — YouTube (+Shorts), TikTok, Instagram Reels, Pinterest, Reddit. Call before framefetch_extract to confirm support. No input.

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• niche_voice_profile_ingest

  Niche — Editorial Intelligence

  Extract voice primitives (register / sentence rhythm / lexicon preferences / punctuation habits) from post-shaped text and persist onto the user's VoiceProfile. The voice primitives thread into content generation so generated copy matches the user's actual writing voice. Two input shapes: pass `posts` (list of pre-collected text snippets, ≥80 chars each) or pass `url` (the server scrapes post-shaped snippets from the page: Substack / Medium / blog / X profile). Inline posts win when both are given. Inline post-shaped snippets need to be the user's own writing, not press articles or marketing copy. Returns the extracted primitives + a diff of what changed on the stored VoiceProfile.

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• tf_service_status

  terminalfeed

  Fetches operational status of major dev infrastructure (GitHub, Cloudflare, Discord, OpenAI, Vercel, npm, Reddit, Atlassian, Anthropic). Cache TTL 60s. Use when the agent needs to know if a dependency is up or to explain a recent outage.

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• getRedditPostWithCommentsById

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)

  Get Reddit post by ID with its comments. Returns both the post data and comments in a single response. FAST (default, omit responseType or responseType="fast"): Returns post and up to 300 comments directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100 comments/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. RESPONSE STRUCTURE: Returns { results: { post: {...}, comments: [...] }, count, guidance }. PAGING MODE DETAILS: FIRST CALL: Omit pageNumber and tableName. Creates cached table for comments, returns page 1 with post data and pagination metadata. SUBSEQUENT PAGES: Use tableName from first response with pageNumber (2, 3, etc.) to fetch additional comment pages. Post data is NOT returned on subsequent pages. FIELD SELECTION: Use postFields for post data optimization, commentFields for comment data optimization. First searches database for both post and comments, then external API if data is stale or missing. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. The response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• get_instagram_post_transcripts

  Influship Influencer Marketing MCP

  Transcribe a bounded list of Instagram video posts by shortcode through the raw API. Each successful item includes transcript data. The nested post field is present on cache misses and omitted on cache hits; use `get_instagram_posts` when you also need post metadata for every shortcode.

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