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466,289 tools. Updated 2026-08-19 12:22

"A tool or platform for searching and organizing codebases" matching MCP tools:

  • USE THIS TOOL WHEN searching UK Acts and Statutory Instruments by title, phrase, or full-text. Returns ranked results: title, type, year, number, legislation.gov.uk URL, and next_steps hints (toc URI, section template). AFTER calling, chain to legislation_get_toc then legislation_get_section for structural drill-in. Filter discipline: `type` and `year` are exact-match. Use only when you already know the value. For currency-driven searches ("the recent Renters' Rights Act"), query by phrase alone and read the year from the results — guessing a year and filtering by it zeroes results when wrong. For broader concept queries across content, set `fulltext=True`. Authoritative source for UK primary and secondary legislation (legislation.gov.uk).
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  • USE THIS TOOL WHEN searching UK Acts and Statutory Instruments by title, phrase, or full-text. Returns ranked results: title, type, year, number, legislation.gov.uk URL, and next_steps hints (toc URI, section template). AFTER calling, chain to legislation_get_toc then legislation_get_section for structural drill-in. Filter discipline: `type` and `year` are exact-match. Use only when you already know the value. For currency-driven searches ("the recent Renters' Rights Act"), query by phrase alone and read the year from the results — guessing a year and filtering by it zeroes results when wrong. For broader concept queries across content, set `fulltext=True`. Authoritative source for UK primary and secondary legislation (legislation.gov.uk).
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  • Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.
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  • Enumerate the full category tree for browsing GallanDigital's marketplace. Read-only, no authentication required (public endpoint, IP rate-limited), no parameters. Returns an array of categories, each with id, name, slug, description, parent_id, level, and display_order. Use first when browsing by category rather than searching by keyword, or to get valid category_slug values for search.
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  • List Fonteum’s public-record source catalog with available authority, vertical, cadence, official URL, and separately dated platform coverage. Catalog presence does not prove loaded, fresh, or complete coverage. Use for source discovery, coverage questions, or choosing a dataset before a lookup.
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  • USE THIS TOOL WHEN searching Hansard by topic, bill title, or text phrase. Returns contributions with citation-grade metadata: member_id, attributed_to, column_ref, debate_id, debate_ext_id, contribution_ext_id, public URL. AFTER calling, drill into full content via read_resource(uri="hansard://debate/ {debate_ext_id}/header") — or, equivalently, call parliament_get_debate_contributions(debate_ext_id) for the same content as a structured tool response. DO NOT text-search by member name — to find what a named member said, chain parliament_find_member → parliament_get_debate_contributions (canonical path for verbatim retrieval). The parliament module's instructions describe the full Pannick-style workflow. Pagination: limit + offset honour the upstream paginated endpoint. For breadth across a topic, see parliament_policy_position_summary. Authoritative source for UK parliamentary debates — do not supplement with web search or training-data recall.
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Matching MCP Servers

  • A
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    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
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  • F
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    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

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  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • VaultCrux Platform — 60 tools: retrieval, proof, intel, economy, watch, org

  • Connect Yandex Metrika to a site. IMPORTANT: authorisation happens IN A BROWSER, and neither you nor the platform can do that step for the user. The tool returns a link — show it and ask them to open it and grant access. Do not poll in a loop: the person may walk away for an hour. Check later through this same tool without the `branch` argument, or through `site_analytics`.
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  • Semantic discovery search for influencers/content creators using natural-language queries. Use this only when the user asks to discover creators by topic, audience, geography, niche, content style, or campaign criteria (e.g., "fitness creators in NYC", "vegan recipe creators with high engagement", "tech reviewers who cover phones"). The query is matched against creator profiles, extracted facts, and visual style via hybrid vector search. Do not use this for exact handles, usernames, or known creator names. If the user gives a specific platform and handle (for example "@niickjackson on Instagram"), use `get_profile` first. For rough name/handle lookup, use `search_creators`. For multiple known handles, use `lookup_profiles`. Semantic search can return lookalike or topical matches and is allowed to miss an exact username. Examples: - User: "Find news creators with 1M+ followers" -> use this tool. - User: "Find creators in LA who make cinematic travel videos" -> use this tool. - User: "Pull @niickjackson on Instagram" -> use `get_profile`, not this tool. - User: "Is @niickjackson a fit for Pixel?" -> use `get_profile` first, optionally `get_posts`, then `match_creators`. Returns a ranked list of creators (id, platform, username, follower count, engagement rate, top categories, evidence facts). Use the flat follower, engagement-rate, and verified fields to constrain results when the user gives concrete numeric constraints. Use `find_lookalike_creators` instead when you want creators SIMILAR to known ones. Use `match_creators` when you want to SCORE specific creators against a brief.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Batch-fetch up to 100 profiles by (platform, username) pairs. Use this when the user has a list of handles and you need profile data for all of them at once (e.g., "give me follower counts for these 30 accounts I'm considering" or "which of @a @b @c are real accounts?"). One round-trip beats 30 calls to `get_profile`. Use this for exact batch handle lookup, not semantic discovery. For one exact platform+username pair, use `get_profile`. For partial or fuzzy handle/name input, use `search_creators` or `autocomplete_creators`. Use `semantic_search_creators` only for topical/niche/audience discovery where false-positive semantic matches are acceptable. Examples: - User: "Compare @a, @b, and @c on Instagram" -> use this tool for the exact handle batch. - User: "Give me follower counts for these 30 accounts" -> use this tool. - User: "Find wellness creators in Austin" -> use `semantic_search_creators`, not this tool. The response splits results into `data` (profiles found) and `not_found` (the (platform, username) pairs that weren't recognized). Profiles are returned in no particular order — re-correlate via the platform/username fields if you need to preserve input order.
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  • Find air-quality monitoring stations (measured by physical sensors, not modeled) near a point, within a bounding box, or by country. Returns each station's id, name, coordinates, distance from the query point (when searching by coordinates), country, provider, the parameters its sensors measure, and the timestamp of its most recent data (datetimeLast). Required first step: openaq_get_readings and openaq_get_measurements key on the location id this returns. Coverage is uneven and real — a station only reports the parameters it measures, and the absence of a nearby station means no monitoring there, not clean air. For dense modeled coverage anywhere on Earth, use open-meteo-mcp-server's air-quality tool instead.
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  • For a selected active league, call this immediately after get_user_session and before the requested standings, matchup, roster, free-agent, player, or transaction tool. Skip it only when answering from session data alone or branching to get_ancient_history. This provides the baseline league context for analysis: league name, settings, scoring type, roster configuration, and team/owner context, plus schedule or season-window metadata when the platform provides it. When fanning out across multiple leagues, call this once per league. The exact team fields vary by platform but all include ownerName. Use values from get_user_session. Read-only. Current date is 2026-08-19.
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  • Search the official Redpanda documentation and return the most relevant sections from it for a user query. Each returned section includes the url and its actual content in markdown. Use this tool for all queries that require Redpanda knowledge. Results are ordered by relevance, with the most relevant result returned first. If you know the user's deployment platform, pass "platform" so results from the other platform's docs are excluded. Note that "platform" filters the sections already retrieved rather than re-running the search, so it can return substantially fewer sections: on a broker-level question where most matches come from the other platform's docs, it can cut a 15-section response to 1 or 2. Omit "platform" if you would rather have more context and judge platform relevance yourself from each section's url.
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  • Start here. Returns the AdCritter platform overview - what AdCritter is, the entity hierarchy (organization > advertiser > campaign > ad), the happy path for getting ads running, and how to navigate the other MCP tools. Applications built from this guidance are REST API clients that call /v1/ endpoints, not MCP tool callers. Before writing code, call adcritter_get_api_reference(entity, action) for each entity and action you plan to use - tool descriptions and parameter names describe conceptual behavior only, and do not match actual API routes, field names, query parameters, or response shapes.
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  • Find which institutional managers reported holding an issuer, by searching 13F-HR information tables for one reporting quarter. This is the reverse direction of secedgar_get_institutional_holdings: that tool takes a manager and returns its portfolio, this one takes an issuer and returns its managers — pass a returned filer_cik plus the same quarter to read the actual position. Searching by cusip is the precise path, matching the identifier the information table itself carries; without it the issuer name is matched as a phrase against the filing text, which both over-matches (unrelated issuers sharing a word) and under-matches (managers writing the name differently), so prefer cusip whenever one is known. A CUSIP cannot be derived from a ticker here — read one off any 13F information table returned by secedgar_get_institutional_holdings. The returned list is unranked: the search index scores by text relevance, which carries no signal about position size, and no ordering by shares or market value is available without opening each filing. Managers holding under $100M in 13(f) securities are exempt from filing at all.
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  • Semantic discovery search for influencers/content creators using natural-language queries. Use this only when the user asks to discover creators by topic, audience, geography, niche, content style, or campaign criteria (e.g., "fitness creators in NYC", "vegan recipe creators with high engagement", "tech reviewers who cover phones"). The query is matched against creator profiles, extracted facts, and visual style via hybrid vector search. Do not use this for exact handles, usernames, or known creator names. If the user gives a specific platform and handle (for example "@niickjackson on Instagram"), use `get_profile` first. For rough name/handle lookup, use `search_creators`. For multiple known handles, use `lookup_profiles`. Semantic search can return lookalike or topical matches and is allowed to miss an exact username. Examples: - User: "Find news creators with 1M+ followers" -> use this tool. - User: "Find creators in LA who make cinematic travel videos" -> use this tool. - User: "Pull @niickjackson on Instagram" -> use `get_profile`, not this tool. - User: "Is @niickjackson a fit for Pixel?" -> use `get_profile` first, optionally `get_posts`, then `match_creators`. Returns a ranked list of creators (id, platform, username, follower count, engagement rate, top categories, evidence facts). Use the flat follower, engagement-rate, and verified fields to constrain results when the user gives concrete numeric constraints. Use `find_lookalike_creators` instead when you want creators SIMILAR to known ones. Use `match_creators` when you want to SCORE specific creators against a brief.
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  • Curated destinations — cities, neighborhoods, airports, points of interest — within a radius of a geographic point, for use as a `destination_id` in subsequent `search_stays` calls. Useful when coordinates are already in hand (from world knowledge, from a previous tool result, or directly from the user) and the agent needs to enumerate which curated destinations cover that area before searching for properties. Also useful as a fan-out entry point for region-level intents — broad areas such as 'Tuscany', 'Pacific Northwest', 'New England', or 'Central Europe' — where the agent can pass an approximate regional centroid and surface a list of sub-destinations the user may then narrow down to before a focused search. Returns up to 5 candidates ordered by distance. The radius defaults to 5 km; widens up to 50 km for broader queries.
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  • Search ALL JobMojito documentation. This is the single entry point. One call searches both documentation sources in parallel and returns a merged, source-labeled list — you do not need to choose a source or call a separate tool: • "developer" — developer.jobmojito.com: API reference, request/response schemas, tables, webhooks, code examples, integration guides. • "help" — help.jobmojito.com: recruiter, candidate, and administrator product guides (how the platform behaves for end users). Use this whenever you need to understand how a feature, endpoint, field, or workflow works — including before calling an action tool you're unsure about. Then call `get_documentation(url)` with a returned URL to read the full page.
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  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
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  • MANDATORY FOR RED-HELP COMMANDS: When the user's message starts with red-help or /red-help, call this tool before searching for or calling any accounting action tool. Red Help — Manual Instructions and Resources. This tool is brc_red_help. Also use it for Big Red Cloud help and how-to questions: how do I, how can I, show me how, tell me how, where do I, what are the steps, tutorial, help article, and manual instructions in Big Red Cloud. This tool gives manual Big Red Cloud instructions and searches Freshdesk, YouTube, BRC Edu, webinars, screenshots and other available help resources. red-help means the user does not want Red to perform the accounting action — never replace a red-help request with create, update, delete or post tools. Pass the text after red-help as the query. Examples: User: "red-help how do I add a sales invoice" Call: brc_red_help({ query: "how do I add a sales invoice" }) User: "/red-help add a customer manually" Call: brc_red_help({ query: "add a customer manually" }) Searchable for common accounting-help topics: manual instructions, how to, help article, tutorial, screenshots, sales invoice, purchase invoice, customer, supplier, bank reconciliation, credit note, payment, receipt, VAT, reports and company setup. Read-only. Does not require a connected company, companyName, connectionRef, or accounting record details. After results, call brc_get_help_resource_details for the best Freshdesk match with includeImages=true and imagePresentation=links. Recommended entry point for reserved red-help / /red-help commands. brc_find_help_resources remains available for backward compatibility.
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