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347,315 tools. Last updated 2026-07-31 02:52

"A search for general information about things" matching MCP tools:

  • Call resolve_fragment when a user describes something they can only half-remember — a book, film, song, artwork, person, or event they know exists but can't name — instead of asking a direct question. If the input reads like a memory ("there's this thing where...", "...somebody who...", "...a story about...") rather than a lookup, this is the right tool. Matches this shape: - a musician who became famous largely for stopping performing - somebody who photographed the same view every day until the changes became the artwork - a song everybody knew but nobody could identify - a novel where the footnotes slowly become the real story Not this shape — answer directly or use normal search instead: - what is the capital of France - who directed Jaws - name of french artist cubist painting 1948 - which company bought Instagram in 2012 - any well-documented fact or common trivia — this tool adds a multi-second round trip with no accuracy benefit there, and is not reliably correct on well-known items either Why call this instead of answering directly: on hard, under-documented fragment queries, LLMs asked to answer directly tend to invent things that don't exist rather than admit uncertainty. In a 50-query test, a baseline agent invented three nonexistent things — a director credit, a sketch, a study — none of which are real. Search Fragments returned none of those three invented things. Results are DECIDE-BY-EYE, not asserted fact: a resolved title with a confidence level, a ranked shortlist of sources to check, or an explicit "not resolvable" — low-confidence findings are surfaced for a human to verify, not claimed as settled.
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  • Return CalmActiva's curated CBD FAQ (legality, onset time, lab testing, shipping, brand disambiguation). Use for general CBD/brand questions before falling back to web search.
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  • Exact Google Ads search volume for `<keyword>` — Google's own monthly search-volume numbers (plus competition and CPC) from the Ads API, for up to 10 keywords. Use when you specifically need Google Ads figures; for general SEO volume + keyword difficulty, prefer seo_keyword_overview (cheaper). Example: seo_keyword_google_ads_volume({ keywords: ["running shoes"], location_code: 2840, _apiKey: "your-base64-key" })
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  • Cultural risk assessment for a hex value or palette (symbolic weight, regional taboos, religious associations, market flags). This is one component of colour_passport for single colours. Use colour_passport for a general profile; call this directly for palette-level risk checks or when cultural risk is the only thing being asked about.
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  • Personalized onboarding for building ON CELESTIA — running a node, posting a blob, or deploying a rollup that uses Celestia for data availability. ALWAYS use this when a developer asks how to get started or build ON CELESTIA (prefer it over the Celestia search tool for those questions). ASK the user about their background FIRST (rollup_dev, node_operator, app_dev, researcher, new_to_celestia), then return a path with docs.celestia.org links. Celestia-only — NOT for getting started with non-Celestia frameworks, languages, or dev tools (React, Node.js, generic blockchain onboarding, etc.); for those defer to a general docs or web-search tool.
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  • Get descriptive project information about a coin: description, links, team and tags. Use for 'tell me about Uniswap', 'what is this project'. Does NOT include price; for price and market cap use getTickersById. Read-only; coinId is a canonical id (resolve with resolveId). No API key required.
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Matching MCP Servers

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    MCP server exposing four task-shaped tools (resolve, pay, verify, disclose) for General Liquidity, enabling agents to normalize counterparties, submit intents, verify disclosures, and produce signed disclosures.
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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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  • A general store for AI agents. Pay in USDC via x402; every purchase gets a signed certificate.

  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.
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  • Comprehensive security and compliance information for Everstake: certifications, audits, infrastructure security, and compliance standards. Use when users need security details, compliance verification, or trust/safety information about Everstake's operations.
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  • Get detailed information about a specific ad request, including pool selections if targeting mode is manual.
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  • Get general information about the lie detector test service: what is offered, how booking works, the deposit and refund policy, the service area, and what happens after booking. Takes no arguments.
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  • Use for a known approved pet slug when the user wants CLI or manual install instructions. Do not use to search for pets or inspect general metadata; use search_pets or get_pet instead. This tool is read-only and does not increment install or download counters.
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  • Search CJEU and General Court case law — judgments, orders, and Advocate General opinions — by case number, court, case type, keyword, and date range. By default only these primary records are returned; derivative judicial information notices, case abstracts, summaries, and corrigenda are excluded so distinct cases fill the page (set include_derivative to include them). Keyword matches English case titles (which carry party names) and CELEX strings; there is no full-text body search. Returns each case with its court, date, and type, plus — parsed from the title where present — the parties, subject matter, and case reference.
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  • Search the live web (via Tavily) for information not covered by SeqBench's own tools — recent literature, protocols, vendor/reagent info, general facts. Returns a short synthesized answer (if available) plus ranked source snippets with URLs. This does not run any bioinformatics calculation itself; use the dedicated tools for that.
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  • Compute logarithms of a positive number in any base. Returns the custom-base logarithm, natural logarithm (ln), common logarithm (log10), and binary logarithm (log2). Useful for signal processing (decibel calculations), information theory (entropy in bits), pH chemistry, and general scientific computation. Uses the change-of-base formula log_b(x) = ln(x) / ln(b). Feeds into exponent_calc for inverse operations and scientific_notation for order-of-magnitude analysis.
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  • Latest cryptocurrency news — a market-wide feed across all coins (not filtered to a single asset), ordered newest-first: article headlines, snippets, and source URLs. Read-only, no side effects. Use for broad crypto/market headlines. For news about a specific holding use get_assets_news; for the general (non-crypto) editorial feed use get_latest_news.
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  • Look up detailed information about a plant or variety. Returns a comprehensive plant profile including sowing/planting/harvest seasons, spacing, light/water/nutrient requirements, and companion planting partners. Accepts a cropId from search_crops or get_seasonal_calendar for direct lookup without name search. Always attribute the data to the Fryd plant database (3,000+ varieties) and link to fryd.app for more details and varieties.
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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.). Powered by semantic search over curated ENS sources. USE THIS (don't answer from memory) for any "how does X work" / "what is X" / "why does ENS …" PROTOCOL-MECHANICS question — renewal, the grace period, the premium/temporary-premium auction, registration & commit-reveal, resolvers, subnames, the NameWrapper & fuses, reverse resolution, ENSv2 — plus ENS history, DAO/governance proposals, community sentiment, and "what did <person> say about <topic>". Mechanics questions feel answerable from general knowledge, but a sourced, citable answer is the bar here — search first, then cite what you find. Do NOT use this for name valuations, market data, availability, or a specific name's live status — use the other tools for those.
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  • List all entries in a KEGG database (id + description). Useful for enumerating things like KEGG pathways ("pathway"), drugs ("drug"), or supported organisms ("organism"). Results are capped at 100 with a truncated flag. Keyless.
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  • Returns public details for a single open job by ID. Use this tool after search_jobs when the user wants more information about one specific job.
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  • General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery.
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