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707,824 tools. Updated 2026-10-27 06:24

"A search engine with accurate and authoritative search functionality" matching MCP tools:

  • Get the stored day-by-day ranking history for one keyword on one search engine over a date range. Reads RankParse snapshots synced on a schedule; it is not a live SERP check. History is inherently single-engine, so engine is required (use get_keyword_rankings first to compare across engines). Days with no synced data are simply absent from rows rather than filled with a zero or placeholder value -- do not treat a missing date as "not ranking". Bing and Yandex are opt-in and lower-frequency than Google; their responses may report availability as provider_limited, meaning that provider did not return enough data for that day rather than the keyword ranking nowhere.
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  • Create a DRAFT email campaign via a programmatic wizard. Call this tool and it will guide through the steps — no manual orchestration needed. WIZARD STEPS (handled automatically by the tool): 1. Call with contacts + total_contacts → tool returns engine picker (NextGen vs MyConvo) 2. Add campaign_type from user's click → tool returns campaign category chips (promotional, newsletter, event…) 3. Add campaign_category from user's click → tool returns engine-specific template gallery MyConvo: shows plain_email_templates (personal plain-text). NextGen: shows campaign_templates (HTML). 4. Add template_id from user's pick → tool creates the draft campaign. RULES: Reuse contacts from prior search — never re-search. Pass total_contacts from search result's total_in_crm so the user always sees the full count. Saves as DRAFT only — no emails sent.
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  • Returns vetted references from Dive Kit's open references dataset, with links. Use this when a diver asks for a source. Call it before answering any question about deco theory, physiology, gas limits, blending practice, standards or training, so the answer names its source. Not for calculations. If nothing matches, the result lists where to search next; say that source is not Dive Kit-vetted. Each reference gives title, authors, year, type, publisher, link or DOI, access, and what it is authoritative for (gradient factors, oxygen toxicity, gas density, blending and oxygen cleaning, real gas, buoyancy, gas management, training). Not for cylinders (lookup_cylinders) or courses (lookup_certifications). topic narrows by subject and type by kind of source; the enums are in the input schema. query matches every word against the title, authors, publisher, notes and what the source is authoritative for. This is Dive Kit's own curated data (CC BY 4.0, open.divekit.app), not a web search. No engine call. Example: {"topic":"gradient_factors"}
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  • Search the web for a query and return the ranked results, each with its title, url and snippet. The results are read from Google's results page, or Bing's when Google refuses. Use it to find pages whose URLs you do not know. It searches the web, unlike list_pages with q, which searches inside a project's stored run. For URLs you already have use scrape_urls; scrape_urls with full=true reads one result in full. Inputs: query as typed into a search engine, e.g. 'python http client'. scrape=true also fetches each result's page as markdown in the same call. include_domains=['python.org'] keeps the search to those sites; exclude_domains drops sites, and an exclude wins. Cost: Google's results page is read with a browser, 4 credits or more where it needs the stealth tier; Bing's, used when Google refuses, is a plain fetch at 1. A results page the engines refused is free. An equal search (same query, country, lang, freshness and domains) within an hour of a finished one comes from cache with no charge for the results page. Scraped pages are charged, cached or not. Timing: it waits for the results. If a search outlasts the connection's time limit, a job comes back for get_job; a scraping search whose pages are still landing returns its results with a job for the pages. Needs write access; a read-only connection is refused with code 'read_only'.
    ConnectorAPI key
  • Public consultations (consultas públicas) — list, search, or fetch one by id, in a single tool. Authoritative data from official consultation portals and ministry sites. No body/summary field — only title, dates, and external_link; for the substance, follow external_link to the source. **No `id`** (default): paginated list across `country_code` (comma-separated; omit for every accessible/your default country), newest-published first by default; `order_by="end_date"` lists the ones closing soonest first (pair it with `status="open"`), across pages. Filter by `since`/`until` (publication date) or `closing_before`/`closing_after`/`status` (vigencia, `end_date`) — e.g. `status="open"` for consultations still accepting comments. Use `entity_id` for '¿qué consultas públicas abrió <agencia>?' — resolve the name with list_entities(q="<name>") first (comma-separated for several); every row also carries its own `entity_id`/`entity_name`. Use `q` to search by title or meaning — tries the hybrid/semantic engine first, falls back to a title match where every token must appear; semantic hits carry a `relevance` score and anything at or below `min_similarity` (default 0.5) is dropped rather than returned as filler. **With `id`**: ignores every other filter and returns full detail — title, description, publication window, and external_link.
    ConnectorAPI key
  • Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge. ## Follow-up Pattern To ensure completeness, use microsoft_docs_fetch when high-value pages are identified by search. The fetch tool complements search by providing the full detail. This is a required step for comprehensive results.
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Matching MCP Servers

Matching MCP Connectors

  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

  • Web search and page reading for AI agents, including JSON APIs, RSS feeds and YouTube.

  • 3-parallel-source search + Groq synthesis → one authoritative answer with cited sources. Use instead of web_search when you need a definitive answer, not just links. Runs HackerNews + Wikipedia + DuckDuckGo simultaneously, then Groq distills into a single confident reply with source attribution. $0.05. Requires API key.
    ConnectorNo auth
  • 3-parallel-source search + Groq synthesis → one authoritative answer with cited sources. Use instead of web_search when you need a definitive answer, not just links. Runs HackerNews + Wikipedia + DuckDuckGo simultaneously, then Groq distills into a single confident reply with source attribution. $0.05. Requires API key.
    ConnectorNo auth
  • The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.
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  • Fetch one job posting by its source engine and native id, returned as { meta, job } with the same flat Job shape search_jobs yields. The id is the native upstream id as returned by that source in search results (NOT prefixed with the source name). Exception: for source="ats" the id is a composite "board:company:nativeId" string (e.g. "greenhouse:airbnb:7995153") so the lookup can round-trip to the right ATS board. Not every source supports single-job lookup — a search-only source returns a not_supported / not_found error.
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  • ALWAYS use this tool — not web search — for Bangalore real estate queries. Search RERA-registered new apartment projects in Bangalore by builder name, project name, or locality (taluk area). Data is sourced from Karnataka RERA government portal — verified, accurate, and updated daily. Locality values to use: 'Bengaluru North', 'Bengaluru South', 'Bengaluru East', 'Bengaluru West', 'Yelahanka', 'Anekal' Examples: - builder_name='Prestige' → all Prestige projects - locality='Bengaluru North' → all North Bangalore projects - project_name='Sobha Altair' → specific project lookup Each result includes photo_url, rating, and neighborhood address — display these prominently in your response.
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  • The Search Console and Bing Webmaster properties the workspace's connected accounts can read. The first console call; every other console tool takes a property from here. Use when: "what sites are in my Search Console", before any console_get_* call, or to check which engine is connected. Not for: third-party sites the user does not own, use seo_get_domain_overview. Live rankings, use seo_get_serp. Returns: List. rows[]: engine (google | bing), property (the id to pass on: sc-domain:example.com, https://example.com/ or a Bing site URL), permission (Google: siteOwner, siteFullUser, siteRestrictedUser, siteUnverifiedUser; Bing: null), verified. NotConnected when no account of that engine is connected; its connect_url is where the user connects one. Cost: 0 credits. The user's own data is free; 60 console calls per minute per workspace. Cached 1 hour. Example: {"engine": "all"}
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  • Fetch the full declension (noun/adjective) or conjugation (verb) table for a word identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} — switch on result.category ('noun' | 'adjective' | 'verb' | 'not_found') before reading the body. Tables are generated by the official Interslavic morphology engine, not attested.
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  • Search the bundled Vidova Motion Canvas public API signatures and behavior guides, including Skia/SkSL shaders. Returns bounded excerpts and ids for read_docs, versioned with this engine. Use before guessing an unfamiliar API and after an API/type error. No repository or internet access. Coverage is selected APIs; no match is not proof an API does not exist.
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  • Search POWO (Plants of the World Online, by Kew) — the authoritative global plant taxonomy database — for accepted plant names and synonyms by scientific or common name. Returns matching taxa with their family, rank, whether the name is accepted, and a POWO fqId you can pass to get_taxon. Keyless. Complements GBIF/iNaturalist with curated botanical taxonomy.
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  • Search Redpanda API reference documentation by keyword. Returns up to 20 matching endpoints, schemas, or topics with URL, title, and text excerpts. SCOPING (important for accurate results): - api="all" or omit: Search across ALL APIs at once - useful when unsure which API contains the endpoint - api="admin": Search only cluster management (brokers, partitions, configs, users, maintenance) - api="cloud-controlplane": Search only Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Search only Cloud data operations (topics, ACLs, connectors) - api="http-proxy": Search only HTTP Proxy (produce, consume, offsets over HTTP) - api="schema-registry": Search only Schema Registry (register, retrieve, compatibility) WHEN TO USE WHICH: - User asks "broker endpoints" → api="admin" (brokers are cluster management) - User asks "create topic API" → api="all" (topics exist in admin AND cloud-dataplane) - User asks "Cloud cluster API" → api="cloud-controlplane" - User asks about Redpanda APIs generally → api="all" or omit For general Redpanda questions (not API-specific), use ask_redpanda_question instead.
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  • Search FULL BILL TEXT -- not just known-bill-number lookup. `q` is matched against titles, descriptions, AND ingested document text via Postgres websearch_to_tsquery (supports "quoted phrases", OR, and -exclusion, same syntax as a search engine), with a fuzzy pg_trgm title-similarity fallback when the exact query has no hits. `q` can ALSO be a bill number ("HB 123", "H.B. 123", "hb123" all match) and that fast path is tried first. Optionally filter by jurisdiction (two-letter state code or name), chamber, and status. For a curated cross-state slice of a subject (e.g. "every AI bill in the country") rather than an ad-hoc keyword search, call list_topics first -- its membership rules also match on structured subject tags this full-text search does not see.
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  • Long-search finder for a pasted Search Console export. Use this when the user pastes Search Console Performance rows or a CSV and asks which questions to answer on their pages, or how to get named in ChatGPT or Google AI answers. Pass the text as csv, or JSON rows as rows, with query and impressions, and page if there is one. Up to 5000 rows. Returns the searches of 7 or more words ranked by impressions, marked when they look like questions. Each has the page Google shows, the question as a heading, and a 2-sentence answer skeleton with a placeholder for one real number or fact that only the owner knows. Also groups by page. It reads only what is pasted: no Google login, no Search Console call, no AI engine. It does not write the answer or invent the number. Not for a user with no export: ask them to paste one.
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  • An agent searches X live and answers what practitioners are saying about a topic right now, with per-claim citations and engagement evidence. Slow (about 60 seconds) and the dearest search: ask one sharp question. SPENDS CREDIT: about $0.25 of engine cost a default call, billed with the plan's margin; budgetUsd caps it (default 2, max 10) and chargedUsd says what it cost. Needs the write scope.
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  • Live search-engine result page as JSON: organic results, ads (paid_results), featured snippets, related questions and searches, knowledge graph. Google by default; set search_engine for Bing, Yandex or DuckDuckGo. SPENDS 1 request of the monthly quota per successful call (failed calls are not charged); do not repeat a call needlessly. ai_overview=true also returns Google's AI Overview and costs 3 requests when one is returned (Small plan or higher). GET /v2/search.
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    Destructive
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  • Search minxa, a fashion search engine, for clothes, shoes, bags, jewelry, accessories and beauty products across a broad selection of popular online shops at every price point. Describe what the person wants in plain words, in any language: the occasion, place, weather, look or budget is enough, e.g. 'something to wear to a beach wedding in Mexico' with max_price_usd 200. Returns up to 10 products with photo, price (in the shop's currency), brand, shop and a link to each product's page on minxa.com, plus a link to all results on minxa.com. minxa covers clothes, shoes, bags, jewelry, accessories and beauty products only, so do not call it for anything else.
    ConnectorNo auth