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189,196 tools. Last updated 2026-06-10 15:13

"General search for the term 'next'" matching MCP tools:

  • Search CJEU (Court of Justice of the EU) and General Court case law — judgments, orders, and Advocate General opinions. Distinct from eurlex_search_documents because case law uses CELEX sector 6 and practitioners search it differently: by case number, court, party name, or AG opinion type. Keyword search matches against English expression titles and CELEX strings — full-text body search is not available. Case numbers follow the pattern C-{num}/{year} for CJEU and T-{num}/{year} for General Court (e.g. C-131/12). Returns case identifier, court, date, human-readable document type, and title (where available). Use eurlex_get_document with the CELEX number to fetch the full judgment text.
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  • Create a Google Ads experiment in SETUP status. Step 1 of 5 — next call addExperimentArms with one control + one treatment arm. Type `SEARCH_CUSTOM` for general search experiments (compare ads/keywords/landing pages); `SEARCH_AUTOMATED_BIDDING_STRATEGY` to compare bidding strategies on the same campaign. The experiment doesn't serve traffic until scheduleExperiment is called. Returns experimentResourceName.
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  • Fetch one glossary term by slug: full definition, aliases, related terms, and the canonical attribution-tagged URL. When to call: AFTER `search_glossary` has returned a candidate slug, OR when you already know the slug from prior context. PREFER `search_glossary` first when you only have a term in mind. Input Requirements: - `slug` is REQUIRED. The glossary slug (e.g. `beneficial-ownership-information`, `architectural-privacy`). Output: `{ slug, term, definition, aliases, category, related_terms, related_guides, url }`. PREFER citing the `url` verbatim. On unknown slugs the tool returns a structured `NOT_FOUND` error with a hint to use `search_glossary`.
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  • Returns the cost-estimate tool URL pre-filled with the user's insurance + service if provided, plus the general copay range. The tool URL is a hand-off — the user verifies their plan there for an exact copay.
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  • Search WhatDoTheyKnow's feed-based event index and return structured results. Call this to find FOI requests matching a query expression. Returns up to `limit` AtomEntry objects. Use the `link` field of each result as the next navigation step — extract the request slug and call get_request_detail or get_request_feed_items for full detail. Example expressions: status:successful body:"Liverpool City Council" (variety:sent OR variety:response) status:successful
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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Matching MCP Servers

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    x402 capability chassis: 170+ AI-callable, pay-per-call data tools (US/global equities, crypto/DeFi, prediction markets, gov/legal, research, infra) settled in USDC on Base mainnet via the Coinbase CDP facilitator. No API keys or accounts — the x402 payment is the auth. Remote MCP at https://the-stall.intuitek.ai/mcp.
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  • Speeron NEXT Digital Guest Journey MCP server (remote HTTP endpoint).

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

  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Create a new forum topic (bug report, feature request, or general discussion). Always call forum_search first to check for duplicates. Call forum_list_categories to get the correct categoryId.
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  • Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.
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  • Full-text search within one post's comment thread. Scoped to a single ``post_id`` — there is no cross-post comment search here; use ``colony_search`` for general discovery. Returns hits newest-first with ``ts_headline`` snippets (``[[hl]]…[[/hl]]`` around matched terms) and ``path_to_root`` — the ancestor chain walking from immediate parent up to top-level — so the caller can show "in reply to" context. Tombstoned comments are excluded. Cursor pagination: pass the response's ``next_cursor`` back as ``cursor`` on the next call. ``has_more`` flips to false on the last page. Authentication is required (same bearer-token shape as the rest of the comment tools).
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  • Search for diagram nodes by keyword across all providers and services. For targeted browsing when you know the provider, use list_providers -> list_services -> list_nodes instead. Args: query: Search term (case-insensitive substring match). Returns: List of matching nodes with keys: node, provider, service, import, alias_of (optional). Sorted by relevance: exact match first, then prefix, then substring.
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  • Define a concept/term from a domain's glossary (e.g. 'stir', 'crop-factor', 'roughness'). Routes to each domain's lookup_concept; pass `domain` to target one, omit to fan out. For entities/records use `search`. Abstains on a miss, which is logged as a gap (the demand signal) — there is no report_gap verb.
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  • Returns the authenticated student's u-SAINT timetable grouped by course. Without year and term it returns the current u-SAINT selected semester; pass both year and term to fetch a specific semester. Term values: 1=spring, 2=summer, 3=fall, 4=winter. Requires mcp_session_id with the SAINT provider linked via start_auth. Returns AUTH_REQUIRED with a loginUrl if SAINT is not authenticated — show the loginUrl to the user and ask them to open it in a browser, then retry this call with the returned mcp_session_id.
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  • Search the Brazilian CID-10 (Classificação Estatística Internacional de Doenças, 10ª Revisão) by Portuguese text. Use this tool to: - Find CID-10 codes for Brazilian SUS / ANVISA contexts ("infarto", "diabetes", "tuberculose") - Look up the official Portuguese (CBCD/USP) translation of a clinical term - Locate codes for billing, epidemiology, and clinical documentation in Brazil Returns matches from CID-10 categories (3-char) and/or subcategories (4-char). Search is diacritic-insensitive: typing "infeccoes" matches "infecções". This tool searches the Brazilian Portuguese CID-10 V2008 — for the international ICD-11 (current WHO revision, in English by default), use icd11_search.
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  • Loads one supported self-assessment into the widget by slug. Use `gad7` for anxiety screening, `phq9` for depression screening, and `who5` for general well-being screening when the user wants to take one of those assessments.
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  • Comprehensive air quality assessment for a location in one call. Combines nearby monitor discovery and current readings with DAQI into a single response. Use this as the first tool call for any air quality question about a location. For long-term trend analysis, use the dedicated `trend_analysis` tool. Returns a structured 'summary' dict with purpose-appropriate sections. Present the summary description to users first. Args: location: Postcode, place name, or "lat,lon". purpose: What the user needs — "general" (default), "health" (safety/worry), "exercise" (outdoor activity), or "planning" (homebuying/school assessment/long-term).
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  • Keyword search across the Pāli Tipiṭaka (trigram word-similarity). Searches the configured enabled language(s) on the server. Filterable by pitaka and translation edition. 💡 **Hints for the AI client:** The system's canonical reference is Romanised Pāli (from SuttaCentral). If the user asks in a disabled or unsupported language, translate the keyword to **Romanised Pāli (preferred) or English** before calling this tool — e.g. "suffering" → "dukkha", "mindfulness of breathing" → "ānāpānassati". See the server instructions for the enabled language set. 🔍 **Pick the right search tool for the question shape:** - **Term lookup (exact word appearances)** — e.g. "occurrences of `ānāpānassati`": this tool is best (trigram nails the exact word). - **Concept search ("discourses about X")** — e.g. "discourses about mindfulness of breathing": **use `search_hybrid` instead.** Canonical Pāli has two quirks that hurt keyword search for concepts: • Section headings (`Ānāpānapabba`) often use a different word than the teaching body, which uses verb forms (`assasati`, `passasati`, `dīghaṁ`, `rassaṁ`). E.g. DN22's Ānāpānapabba has 16 segments but the word `ānāpāna` appears in only 2 (header + footer) — the actual teaching segments won't match. • Stock phrases (e.g. `So satova assasati, satova passasati`) recur in 10+ suttas, so a keyword query ranks broadly and won't pinpoint the canonical reference. - **General keyword survey** — set `limit≥30` and filter client-side, or call multiple related forms (root verb + noun + compound).
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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, SIC codes, incorporation date, and registered address. 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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  • Search and filter products from a specific retailer's catalog. Supports text search, barcode lookups, price/discount filtering, and cursor-based pagination. When next_cursor is returned, pass it as the 'after' parameter in the next call to paginate. For very large catalogs (millions of products), use pagination with smaller limits to avoid oversized responses.
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  • Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.
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