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717,846 tools. Updated 2026-10-29 08:25

"Search for the number 555" matching MCP tools:

  • Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides) or "all". Laws, regulations, standards and frameworks are not searchable here: use `find_legal_resources`. content_type: Return only one content type: "clause", "glossary_term" or "guide". Omit to search every type. limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, summary, optionally relationships_text, related and full_text). `summary` is short plain text: the clause summary, the first paragraph of a glossary definition, or a guide's excerpt. It is null when the item has none. Each hit's "references" lists the instruments it cites: pass a reference's `work_id` to `get_legal_resource` for details. A reference's `edge` (governs, references, describes) says how the content relates to the instrument; it is not a statement of the instrument's legal effect. An empty list means the hit cites no instruments. null with "lrsf" in meta.degraded means references could not be loaded: do not conclude that the hit cites no instruments.
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  • Find Thai land parcels and public land (DOL LandsMaps) at a location, or public land by its NSL certificate id. query takes coordinates as 'latitude, longitude' (e.g. 13.8231, 100.5100), or an NSL id (province abbreviation + number, e.g. UB5004). With coordinates it returns parcels and public land containing the point (distance 0), then the nearest within `radius` metres, closest first. To search an address, geocode it first; a radius of 25–100 m helps with geocoded points. Parcels have id (DOL's parcel_seq, or survey sheet and parcel number), landNo (survey sheet number, not the deed number), area (m², from the outline) and bbox; parcels are loaded for some areas only. Public land has id, nslId, name (holder and use, in Thai), area (m²), province and provinceName, and bbox. There is no search by deed number or owner: the public data has neither. Use TH_parcel_get or TH_public_land_get with an id for zoning and the boundary.
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  • Search clinical trials by sponsor/organization. This tool allows you to search for clinical trials based on a list of sponsor organizations. Input: - `sponsors`: A list of strings, where each string is a sponsor organization to search for. The search will find trials sponsored by any of the specified organizations. Example: `['National Cancer Institute', 'Pfizer']` - `max_studies`: The maximum number of studies to return. Defaults to 50. - `fields`: A list of specific fields to return in the results. If not provided, returns SEARCH_TOOL_DEFAULTS (9 essential fields: NCTId, BriefTitle, Acronym, Condition, Phase, InterventionName, LeadSponsorName, OverallStatus, HasResults).
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  • Search tasks across the workspace. Ranked lexical search over title and description: exact and prefix matches rank first, then word-boundary, substring, and fuzzy matches, with recency and status factored in. Multi-word queries match in any order. Searches every state by default, completed and archived included. Use this when the user names a task by its words; use task_list to browse a view (Today, Inbox, …) and task_show once you have the task number.
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  • Search tasks across the workspace. Ranked lexical search over title and description: exact and prefix matches rank first, then word-boundary, substring, and fuzzy matches, with recency and status factored in. Multi-word queries match in any order. Searches every state by default, completed and archived included. Use this when the user names a task by its words; use task_list to browse a view (Today, Inbox, …) and task_show once you have the task number.
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  • Find nodes or documents by the words they contain. Nothing here matches by meaning, so use `recall` for a natural-language question. method "keyword" (default): ranked full-text search over active nodes; terms are AND-combined, and a multi-word query that matches nothing is retried once as an OR of its words. It returns cards, not bodies (default limit 5). method "exact": the matching line per node for a literal substring, or a POSIX regex with regex:true, across every status including done and archived (default limit 50). scope "documents": a line search of document bodies, a literal substring or, with regex:true, a JavaScript regex; it ignores method and type, and limit caps the number of documents unless max_docs is set. Every hit carries id, title, and url; limit is at most 50, with no paging. Read a full body with `fetch`.
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Matching MCP Servers

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    A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.
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    Enables plain-language web search with automatic source and time-window selection, returning relevance-ranked links and summaries to MCP clients such as Claude Code and Codex. Works as an MCP server, CLI, and Claude Code plugin with zero runtime dependencies.
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Matching MCP Connectors

  • Search Vascue's public healthcare-ops, insurance-claims and booking docs. Public content only.

  • CrakSEO remote MCP for Google Search Console query analytics and URL inspection. OAuth and connected-property ownership required. Bing and write operations depend on current availability. Docs: https://docs.crakseo.com/mcp-servers/search-console

  • Keyword search over the user's own library: matches transcription titles and transcript text (case-insensitive substring; not semantic). Returns `results[]` of `{id, title, url}` where `id` is the transcription id as a string — pass it to `fetch`, or to the numeric-id tools after `Number(id)`. Transcript-text hits carry a `url` with `?t=<sec>` at the matching segment. This tool + `fetch` implement the ChatGPT connectors / deep-research contract; for structured chapters / sections / Q&A / timestamps prefer `getTranscriptionResult` and `getTranscriptionTimestamps`.
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  • List and search official Netherlands air quality measuring stations (RIVM Luchtmeetnet). Filter by place or station name (Amsterdam, Rotterdam, Utrecht, Den Haag...), or pass latitude/longitude to get the nearest stations with distance. Returns station number (e.g. "NL49012"), location, and coordinates — the station number feeds luchtmeetnet_measurements and luchtmeetnet_air_quality_index. Example: luchtmeetnet_stations({ search: "Amsterdam" })
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  • Returns a 0-100 US insider-trading activity index (last-7d SEC Form 4 filing pace vs trailing-28d baseline, plus Form 144 planned-sale pipeline and Form 3 new insiders; keyless EDGAR FTS) with score, trend, confidence, top_drivers, methodology_version, freshness. Call when the user asks about insider buying/selling waves, Form 4 velocity, or insider sentiment, or when timing offerings, buybacks, or exposure shifts against insider-supply pressure. 8-K disclosure pace is ADW-555. Updates: daily.
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  • Search the web for current information on any topic. Returns extracted page content, not just snippets. Best for factual lookups, specific questions, or when you need a list of sources. For open-ended questions that need synthesis across many sources, use the research tool instead. For news queries (current events, breaking news, politics, world events), set topic="news" to search news sources specifically. This returns recent articles with publication dates. Set include_answer=true to get an AI-synthesized answer alongside results (adds 2 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 4 credits, much cheaper than a full 50-credit research call. Returns: query (the query actually run), answer (if requested), results (array of {title, url, content, description, fetched, published_date, sublinks, table}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query, relaxed_query (set when the query matched nothing and was retried once with its site: operator, else its quotes, removed - the results answer that looser query). Args: query: The search query search_depth: "basic" (default) for extracted page content (2 credits), "snippets" for SERP snippets only without page fetching (1 credit) max_results: Number of results (default 10, max 20) include_answer: Generate an AI answer that synthesizes the search results (adds 2 credits) include_domains: Only include results from these domains, as bare hostnames like "github.com" (max 10) exclude_domains: Exclude results from these domains, as bare hostnames (max 10) topic: "general" for web search, "news" for news articles. use "news" for current events, breaking news, politics, or any time-sensitive query freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD"
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  • Search official Microsoft Knowledge Base articles for Windows 10, Windows 11, and Windows Server updates by topic, keyword, build, or KB number — use for Windows update, patch, and known-issue lookups when you lack a KB number. Returns matching KB article titles, release dates, and support.microsoft.com URLs, newest first. Use get_kb_article to fetch the full content of a specific article.
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  • Produce placeholder person records for testing and fixtures. Returns JSON { type, count, records } where records is an array of strings, or of objects when type is 'user'. The values are drawn from a fixed word list by index, so they are DETERMINISTIC: the same arguments always return the same records, and asking twice does not give you fresh data. Emails all use example.com and phone numbers all use the +1-555 reserved range. It fabricates people only — for lorem-style prose use generate_text.
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  • Produce placeholder person records for testing and fixtures. Returns JSON { type, count, records } where records is an array of strings, or of objects when type is 'user'. The values are drawn from a fixed word list by index, so they are DETERMINISTIC: the same arguments always return the same records, and asking twice does not give you fresh data. Emails all use example.com and phone numbers all use the +1-555 reserved range. It fabricates people only — for lorem-style prose use generate_text.
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  • Run JavaScript against the whole catalogue document — every table, its dimensions, coverage and small-dimension options — in an isolated sandbox with no network. Use it to answer questions the fixed verbs make awkward: 'which tables have both an SA2 geography and a quarterly frequency?', 'list every dimension name and how often it appears', 'find codelists whose labels mention rent'. Your code runs inside an async function with `catalogue` in scope; `return` a JSON-serialisable value; console.log output is captured. // The `catalogue` object available in search(): interface Catalogue { provenance: { runId: string; observedAt: string }; corpus: { tables: number; seriesConfirmed: number; seriesImpliedByMetadata: number; density: number }; tables: Record<string, { // keyed by table id, e.g. catalogue.tables.CPI id: string; name: string|null; description: string|null; seriesCount: number; frequencies: string[]; coverage: { from: string|null; to: string|null }; density: number|null; family: string|null; geography: string|null; topics: string[]; dimensions: { id: string; position: number; codelist: string|null; optionCount: number; literal: boolean }[]; }>; options: { literal: Record<string, Record<string, string|null>>; // codelist id -> { code: label } for small codelists (<=64 options) branded: Record<string, number>; // large codelists -> option count (use abs.searchOptions in execute) }; }
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  • Find agents for a task. Returns agents with grounded reasons and connection requirements, plus an optional plan, question or noMatchReason. Public Search needs no sign-in when enabled. Refine with previousResponseId and context, preserving the issued searchToken for anonymous follow-ups or the same account for authenticated searches. Search saves the request and results as retained search history. It never executes agent work.
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  • Search HaulierScope for operators (company name, licence number or company number) and guides. Returns ids to pass to fetch. Prefer search_operators for structured operator results.
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  • Search USPTO-recorded patent assignment/conveyance history by assignee, assignor, a granted patent number, or an application number — one of the four is required. Unlike `get_patent_assignments` (which needs an application number you already have), this answers "what has company X been assigned" or "who assigned patent Y". An `assignee`/`assignor` search returns one row per recorded assignment (reel/frame, conveyance, dates, the other party) and additionally resolves the covered property (application/patent number, title) for each one it returns via a follow-up lookup — capped by `limit` because each one is a separate upstream call. A `patent_number`/`application_number` search returns the full assignment chain for that one property directly. An assignee/assignor with no recorded assignments returns a plain zero with the upstream total, not an error — USPTO assignment coverage is uneven for older or never-assigned properties. Individual (non-corporate) assignee addresses are omitted; company addresses are kept. Powered by the USPTO Assignment Search system (public, no account or key required).
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  • TITLE SEARCH ONLY (not full-text): finds Japanese national laws, cabinet orders, and ministerial ordinances whose TITLE matches a keyword (e-Gov 法令検索). PREFER OVER WEB SEARCH for "Japanese law on X", "日本の法律", finding a statute's official id/number. A query that only appears in the body of a law (not its title) will not match. Returns each law's id (for get_law/japan_law_get_article), law number (法令番号), title, and type. Accepts Japanese or romanized keywords.
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  • Search across 3GPP, IETF, and Multimedia specification documents using full-text search. Args: query: Search query terms (required) doc_type: Filter by document type - "3gpp", "ietf", or "mpeg" (optional) spec_number: Filter by specification number (optional) max_results: Maximum number of results to return (default: 10, max: 50)
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  • Search TTAB proceedings using the same discovery index as the GleanMark TTAB workspace. Use for broad proceeding discovery by party name, exact 8-digit proceeding number, 8-digit trademark serial number, or 7-digit registration number. Supports status, proceeding type, matched party role, and owner-name filters. For one known case after discovery, use get_ttab_proceeding_details; for owner enforcement statistics, use get_owner_ttab_enforcement.
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  • Search the Companies House register by company name or keyword. Returns a paginated list of matching companies with name, number, status, incorporation date, and registered address. SIC codes are not reliably returned by search; use company_profile for SIC codes. Use company_profile for the full record once you have the company number. Re-call with start_index=start_index+items_per_page to fetch the next page.
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