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127,142 tools. Last updated 2026-05-05 09:15

"A search for finding people using Google, LinkedIn, and other databases" matching MCP tools:

  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
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  • ⚠️ MANDATORY FIRST STEP - Call this tool BEFORE using any other Canvs tools! Returns comprehensive instructions for creating whiteboards: tool selection strategy, iterative workflow, and examples. Following these instructions ensures correct diagrams.
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  • Search for existing entities (people, galleries, museums, auction houses, institutions, foundations, collectors) by name. Use this before creating a new entity to check for duplicates — the system includes ~2,500 major galleries, museums, and auction houses. Returns matching entities for autocomplete-or-create flow. If no match is found, create a new entity via create_entity.
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  • Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Covers ENS governance and DAO proposals, protocol details (ENSv2, resolvers, subnames), community sentiment, historical decisions, and what specific people have said about a topic. Powered by semantic search over curated ENS sources. Do NOT use this for name valuations, market data, or availability checks — use the other tools for those.
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • Scrape Google search results with SERP data, ads, and knowledge panels

  • linkedin-humblebrag MCP — wraps StupidAPIs (requires X-API-Key)

  • Search across ALL string properties of ALL nodes in a deployed graph using free-text queries. Unlike search_graph_nodes (which filters by specific property), this searches every text field at once. Perfect for finding knowledge when you don't know which property contains the answer. Example: query "quantum" searches name, description, summary, notes, and all other string fields. Returns nodes with _match_fields showing which properties matched. Optionally filter by entity_type to narrow results.
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  • Search independent expenditures (Schedule E) — outside spending supporting or opposing federal candidates. Covers Super PACs, party committees, and other groups. Use itemized mode for individual expenditure records, or by_candidate for aggregated totals per candidate.
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  • Search for username across 15+ social/dev platforms (GitHub, Reddit, X/Twitter, LinkedIn, Instagram, TikTok, Discord, YouTube, Keybase, HackerOne, etc.). Use for OSINT investigations and identity verification. Free: 100/hr, Pro: 1000/hr. Returns {username, total_found, platforms: [{name, exists, url, status_code}]}.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Search or fetch posts from the MetaMask Embedded Wallets community forum (builder.metamask.io). Use for troubleshooting real user issues, finding workarounds, and checking if an issue is known. Provide a query to search or a topic_id to read the full discussion.
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  • Search for round-trip flights using Google Flights. Returns flight options with airlines, departure/arrival times, prices, and booking information. **Workflow for selecting flights:** 1. Search with departure_id, arrival_id, outbound_date, and return_date to get outbound flight options 2. Each outbound flight includes a departure_token 3. Call again with departure_token to see return flight options for that outbound flight 4. Selected flight pairs include a booking_token for final booking details For one-way flights, use google_flights_one_way instead. For flexible date searches, use google_flights_calendar_round_trip to find the cheapest date combinations first.
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  • List all databases in a given catalog. ⚠️ WORKFLOW: Call this after list_catalogs_tool to explore a specific catalog. 📋 PREREQUISITES: - Call search_documentation_tool first to understand what you're looking for - Call list_catalogs_tool to discover available catalogs 📋 NEXT STEPS after this tool: 1. Use list_tables_tool to find tables in a database 2. Use describe_table_tool to get table schemas before writing queries This tool retrieves all databases within a specified catalog. Parameters ---------- catalog : str The name of the catalog. ctx : Context FastMCP context (injected automatically) Returns ------- DatabaseListOutput A structured object containing database information. - 'catalog': The catalog name. - 'databases': List of database names. - 'count': Number of databases found. Example Usage for LLM: - When user asks for a specific catalog's databases. - Example User Queries and corresponding Tool Calls: - User: "List all databases in the 'wherobots' catalog." - Tool Call: list_databases('wherobots') - User: "What databases are in the foursquare catalog?" - Tool Call: list_databases('foursquare')
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  • Get complete hierarchy of catalogs, databases, and tables. ⚠️ WORKFLOW: Use this for a quick overview of all managed catalogs. For external catalogs, use list_catalogs_tool instead. 📋 PREREQUISITES: - Call search_documentation_tool first to understand what data you need 📋 NEXT STEPS after this tool: 1. Use describe_table_tool to get schemas of tables you want to query 2. Use list_catalogs_tool to discover external catalogs not shown here This tool provides a comprehensive view of all available assets in the Wherobots system, including their hierarchical relationships. It can be used to retrieve information about all catalogs, list all databases within those catalogs, and enumerate all tables within each database. *** IMPORTANT LIMITATION: - This tool is being DEPRECATED, but is the only way to get a full hierarchy in one call. - This tool ONLY shows catalogs managed within Wherobots. - External catalogs (e.g., on Databricks, other cloud platforms) are NOT visible in this hierarchy. - If the user mentions specific catalog names that don't appear in the results, they may be external catalogs that need to be accessed differently. - ALWAYS call list_catalogs_tool before or after calling this tool. *** Parameters ---------- ctx : Context FastMCP context (injected automatically) Returns ------- HierarchyListOutput A structured object containing the hierarchy of catalogs, databases, and tables. - 'hierarchy': A dictionary representing the hierarchical structure, where keys are catalog names. Each catalog entry contains a dictionary of its databases. Each database entry includes a list of its tables. Each table entry contains its name. - 'summary': A dictionary providing counts of total catalogs, databases, and tables. Example Usage for LLM: - When user asks for a general overview of data, or specific items across multiple catalogs/databases. - Example User Queries and corresponding Tool Calls: - User: "List all tables in the 'default' database of the 'wherobots' catalog AND in the 'overture_maps_foundation' database of 'wherobots_open_data'." - Tool Call: list_hierarchy() - User: "Show me all databases in 'wherobots' and 'wherobots_open_data' catalogs." - Tool Call: list_hierarchy() - User: "What data is available?" - Tool Call: list_hierarchy()
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  • Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.
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  • Search for UK SIC 2007 codes by business activity description. Describe what a business does in plain English and get ranked SIC code recommendations with relevance scores, hierarchy breadcrumbs, and GICS/ICB cross-classification mappings. Useful for finding the right SIC code for Companies House registration.
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  • Search for tables using a text query and filters. Tables in Baselight have the following format: @username.dataset.table. Tables are grouped into datasets which can be public or private — you can search and use all public datasets as well as the user's private datasets. Search for tables directly when you are unable to find relevant datasets.
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  • Search EXTERNAL databases (NOT the user's collection) to find items BEFORE adding them. Use search/get_details for items the user already owns. Data sources: Books=OpenLibrary, Movies/Shows=TMDB, Albums=Discogs, Anime=AniList. Use anime (not show) for Japanese animation.
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  • List all databases on a site's container. Requires: API key with read scope. Args: slug: Site identifier Returns: {"databases": ["wordpress", "app_db", ...]}
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