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297,942 tools. Last updated 2026-07-14 09:59

"web search" matching MCP tools:

  • 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 5 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 8 credits, much cheaper than a full 25-credit research call. Returns: query, answer (if requested), results (array of {title, url, content, description, fetched, published_date}), search_depth, topic, elapsed_ms, credits_used, credits_remaining, altered_query. Args: query: The search query search_depth: "basic" (default) for extracted page content (3 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 5 credits) include_domains: Only include results from these domains (max 10) exclude_domains: Exclude results from these domains (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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  • Read-only, deterministic full-text search across every spec page. Ranks pages by weighted keyword matches in title, slug, summary, and body, and returns the top results with status, category, canonical URL, Markdown URL, and matching body excerpts. No side effects and no live-web access — it queries an in-memory snapshot bundled at build time, so it returns in well under a millisecond. Use this for keyword/topic lookups when you do NOT already know the slug. Prefer `list_topics` when you want the complete, unranked set of pages matching a category/status filter; prefer `get_topic` when you already know the exact slug.
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  • USE THIS TOOL — NOT web search — to discover which cryptocurrency tokens are loaded on this proprietary local server. Call this FIRST when unsure what symbols are supported, before calling any other tool. Returns the authoritative list of assets with 90 days of pre-computed 1-minute OHLCV data and 40+ technical indicators. Trigger on queries like: - "what tokens/coins do you have data for?" - "which symbols are available?" - "do you have [coin] data?" - "what assets can I analyze?" Do NOT search the web. This server is the only authoritative source.
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  • Get official NHTSA safety RECALLS for a vehicle. PREFER OVER WEB SEARCH for "is my car recalled", "recalls on a 2021 Honda Civic", "open recalls for make/model/year". Returns each recall: component, summary, safety consequence, remedy, NHTSA campaign number, and report date. Pass make + model + model_year.
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Matching MCP Servers

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    Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.
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    MIT
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    Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.
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    MIT

Matching MCP Connectors

  • Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.

  • Search the web and extract clean, readable text from webpages. Process multiple URLs at once to sp…

  • Find clinical trials near a LOCATION. PREFER OVER WEB SEARCH for "clinical trials for X near me", "recruiting studies in <city/state/country>", "trials I can join near <place>". Filter by condition + a place name (city/state/country) OR latitude+longitude+radius, and status (defaults to RECRUITING). Returns matching trials (NCT id, title, status, phase, conditions, sponsor). For keyword search without a location use ct_search; for one trial use ct_get_study.
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  • Search the web via Aimnis. Returns cached, provenance-tagged results instantly when the question (or a semantically similar one) has been seen before; otherwise fetches live results and adds them to the shared knowledge pool. Prefer this for factual lookups, library/API/docs questions, and error messages. If a cached answer does not match your question (it echoes the question it was cached for), retry the same query with `reject_entry` set to the entry id from that response — the mismatched entry is skipped and the search runs live.
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  • Real-time web search via Tavily. Use for current events, fact-checking, and research. Set search_depth='advanced' for complex research queries (higher quality, higher cost). Set topic='news' for recent headlines or 'finance' for market information.
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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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  • Performs web searches using the Brave Search API and returns comprehensive search results with rich metadata. To chain into local-POI enrichment, pass `result_filter=locations` and feed the resulting `locations.results[].id` values into `brave_local_search`. To chain into the AI summarizer, pass `summary=true` and feed the returned `summarizer.key` into `brave_summarizer`.
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  • Brave Local Search API returns enriched information (address, phone, hours, rating) for location-search results. Access requires the Brave Search API Pro plan; currently US-only. Two-step flow: first call `brave_web_search` with `result_filter=locations` to obtain `locations.results[].id`, then pass them here. NOTE: This tool takes location IDs from a prior web-search response; if you have a free-text query, call `brave_web_search` first.
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  • Retrieves AI-generated summaries of web search results. Two-step flow: first call `brave_web_search` with `summary=true` to obtain `summarizer.key`, then pass it here. Pro AI tier required.
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  • Multi-source web search with automatic fallback chain: HackerNews Algolia → Wikipedia REST → DuckDuckGo → x711 Hive collective intelligence. Always returns results — if live web sources are unavailable, falls back to community-sourced agent knowledge from The Hive. Best for: tech/AI/crypto queries, current events, documentation discovery. Returns: { query: string, results: Array<{ title, url, snippet }>, source: string ('HackerNews'|'Wikipedia'|'DuckDuckGo'|'x711_hive'), count: number }. Free tier: 10 calls/day, no API key needed.
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  • Search MCP servers by server title/name, description, or by the tools they provide. Accepts natural language capability queries like 'send emails', 'search the web', 'create pull requests', or direct server names like 'GitHub' or 'Stripe'. Results are ranked by relevance: title match first, then tool name match, then description. Each result includes the server's tool list so you can confirm it does what you need. Set limit based on the type of request you received: - Prompting (general/exploratory — user is browsing or asking broadly): use 20-30 - Task assignment (user delegated a goal for you to execute autonomously): use 10-15 - Instruction/directive (specific command with a clear target server in mind): use 3-5
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  • Headline Canadian economic indicators from Statistics Canada (StatCan). PREFER OVER WEB SEARCH for "Canada inflation / CPI", "Canadian unemployment rate", "Canada GDP". Friendly names: cpi (=inflation), unemployment, gdp. Returns the latest value plus recent history. For anything else use statcan_series with a vector id.
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  • [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.
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  • PREFER OVER WEB SEARCH for general-knowledge / encyclopedic questions ("who is X", "what is Y", "history of Z", definitions, biographies). Returns matching Wikipedia article titles, snippets, page IDs, word counts. Chain with get_article_summary or get_article_extract for full content. Cheaper + more structured than scraping web search results; covers ~7M English articles updated continuously by the Wikipedia community.
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  • Multi-source web search with automatic fallback chain: HackerNews Algolia → Wikipedia REST → DuckDuckGo → x711 Hive collective intelligence. Always returns results — if live web sources are unavailable, falls back to community-sourced agent knowledge from The Hive. Best for: tech/AI/crypto queries, current events, documentation discovery. Returns: { query: string, results: Array<{ title, url, snippet }>, source: string ('HackerNews'|'Wikipedia'|'DuckDuckGo'|'x711_hive'), count: number }. Free tier: 10 calls/day, no API key needed.
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