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605,668 tools. Updated 2026-09-24 02:29

"A search for pencils" matching MCP tools:

  • GET /search — Cross-resource omni-search Cross-resource search across profiles, rooms, messages (incl. private DMs + group DMs you're in), events, and chapters in one round trip. Returns the top-N matches per resource, grouped by resource. Use this when you don't yet know which resource carries the answer — agents typically call this first, then drill into a specific `GET /search/<resource>` for more depth on a single bucket. There's no page param: when you hit the per-resource limit and want more, switch to the per-resource endpoint for that one. The events slice has a baked-in forward-looking default (events ending in the last 30 days or later, and currently enabled) — this matches the in-app "Search across DC" surface. Use `GET /search/events` directly to look further back in time. **Query syntax (`q=`):** plain words match with prefix + typo tolerance. Wrap a phrase in double quotes to require an exact ordered match — e.g. `q="remote work"`. AND/OR/NOT/parentheses are NOT parsed in `q=` — use the structured filter params below for boolean composition.
    ConnectorNo auth
  • What's the most this buyer can afford? The reverse of `affordability` — 'what price can I afford?' instead of 'can I afford this specific home?'. Solves for the maximum home price under standard lender limits: a front-end DTI cap (default 28% = housing / gross income) and a back-end cap (default 36% = housing + other debts / gross income). If `liquid_savings` is given, also caps by the cash available for down payment + closing and reports which limit binds. Returns the affordable price, the PITI and DTIs at that price, and the cash to close. Pass `address` to ground property tax + insurance in the ZIP's real rates. This is a lender-limit ceiling, not a comfort recommendation — feed the result into `affordability` (or buy_vs_rent) to check monthly slack and whether buying pencils.
    ConnectorNo auth
  • Run a deterministic, lender-grade quick check on a real estate deal. Use this whenever a user asks whether a specific property or deal works, pencils, is worth pursuing, what their maximum offer should be, or wants real numbers on a flip, a rental refinance, or a ground-up build. Inputs: deal_type (FF | BRRRR | NC), purchase_price, arv_or_value (ARV for FF, refinance value for BRRRR, sellout for NC), rehab_budget, zip_code; optional annual_debt_service, noi_annual, units, units_to_hold. Returns a PASS, MARGINAL or FAIL verdict, the key financial metrics for that deal type (MAO and margin for FF, TPC and DSCR for BRRRR, TPC plus margin or DSCR for NC), and a one-paragraph summary. Every figure is computed exactly from formulas, identical to the underwriting pipeline behind Refpro's full deal pack: no estimates, no rounding shortcuts. Do not use for general questions about method, pricing or output formats; call methodology_faq instead. Results are a preliminary underwriting screen, not an appraisal and not a lender commitment.
    ConnectorNo auth
  • Search across your own connected-account content and return the best matches. Each result has an `id` (pass it to `fetch` for the full item), a `title`, a `url`, and a `text` snippet. This is the deep-research "search" entrypoint the ChatGPT/Claude connectors call by convention; for semantic search over analyzed videos specifically use `search_videos`. Returns {"results": [...]}; when you have no connected accounts it returns reason="no_connected_accounts" plus a connect_url instead of results.
    ConnectorOAuth
  • List Search Console properties for this account. Returns Vee3-managed domains plus sites added with google-search-console.add_site. Call this to discover sites, then omit site_url on later calls to use the default property, or pass an exact site_url from this response. If no properties appear, add a site with google-search-console.add_site or register a domain with domains.register. Cost = 5 tokens.
    ConnectorNo auth
  • [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.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Search Sponsorable's podcast-sponsorship database for brands that sponsor podcasts — the deep-research/Responses-API compatibility interface, paired with fetch. Matches sponsor names and domains and returns citable documents; pass a result's id to fetch for the full profile. For filtered or paginated search (category, industry, recency), use search_sponsors instead.
    ConnectorNo auth
  • Search everything A-du publishes with one free-text query: ADU rental listings, pre-approved ADU plan sets, and the guides and city rules pages. Returns up to ten results as {id, title, url}; pass an id to `fetch` for the full record or page text. This is the generic entry point for hosts that only support search and fetch. Hosts that can call specific tools should prefer search_rentals, search_plans, get_adu_rules and ask_adu, which take structured filters and return structured data. Example: {"query": "one bedroom ADU for rent in Long Beach"}.
    ConnectorNo auth
  • Get ranked web results for a query. Cheap web search (real Google results via Serper): top 10 organic results + answer box + knowledge graph. Cheaper than Exa /search on x402. Query: ?q=&gl=&hl= — $0.003/call, paid per request via x402 (USDC). Use when asked: "search the web for x", "look up pages about a topic", "google this for me".
    ConnectorNo auth
  • Get details for one sitemap submitted to Search Console. Call google-search-console.list_sites to discover sites, then google-search-console.list_sitemaps for an exact feed_path when available. Omit site_url to use the default property. Returns submission status, download time, warnings, errors, and content counts. Cost = 5 tokens.
    ConnectorNo auth
  • Search for documents across ALL compendiums by name. Useful when you want to find a monster, item, or spell but don't know which compendium it's in. Name matching only — for structured filters (CR, level, rarity, traits, price...) use dnd5e-compendium-filter-* / pf2e-compendium-filter-*; for rules/lore TEXT inside journal packs use compendium-page-search (this tool does not see page content); when you already hold a UUID, use uuid-resolve.
    ConnectorAPI key
  • Search the datasheet corpus; returns hit records (metadata + snippet, each with an opaque `ref`). Pass a ref list to `get_segments` for full content. If you already know the part number(s), prefer `lookup` — it fuses this search with `get_segments` in one call and groups full content per part. Use `search` when the part is unknown, or to triage snippets before pulling full content. For part-specific queries, pass scope='device:<MPN>' (e.g. scope='device:NE5532') to restrict hits to that part and avoid cross-part contamination.
    ConnectorNo auth
  • Query Search Console search analytics for a verified property. Call google-search-console.list_sites to discover sites. Omit site_url to use the default property, or pass an exact site_url from that response. Returns performance rows with clicks, impressions, CTR, and average position, grouped by the requested dimensions. Daily search analytics typically lag by two to three days. For the Search Console last-24-hours hourly view, group by hour; those rows can include partial hours and cover up to ten days. Cost = 20 tokens.
    ConnectorNo auth
  • Search batru.gg's live competitive datasets for Dota 2, Deadlock and Marvel Rivals. Finds the right document for a question about hero counters, hero synergies /duos, current-patch tier lists, ban rates, pro tournament results (TI, Esports World Cup) or the prediction model's public evaluation ledger. Data behind every document is computed from 140M+ real matches by batru.gg's production pipeline — measured numbers, not model guesses. Args: query: Free-text search, e.g. "who counters axe dota", "best deadlock heroes", "marvel rivals mantis duo", "ti 2026 most banned". Returns {results: [{id, title, url}]}. Pass a result's `id` to `fetch` to get the full document.
    ConnectorNo auth
  • Same search as search_meetings: keyword match across titles, notes, action items, participants, and transcript, returning ids for fetch. Exists because ChatGPT's connector surface requires a tool named search; other clients should call search_meetings. Use when the host only exposes `search`/`fetch`, or when following ChatGPT's search-then-fetch flow. Do not use to page the archive (list_meetings) or to open a known id (fetch / get_meeting). Does not create, edit, or delete meetings. query must be non-empty. Scans at most the 200 most recent synced meetings.
    ConnectorOAuth
  • Compatibility search for research clients that require a tool named "search". Returns only id, title and URL. Prefer search_products, which also filters by category and returns the category of each hit.
    ConnectorNo auth
  • Compatibility search for research clients that require a tool named "search". Returns only id, title and URL. Prefer search_products, which also filters by category and returns the category of each hit.
    ConnectorNo auth
  • Compatibility search for research clients that require a tool named "search". Returns only id, title and URL. Prefer search_products, which also filters by category and returns the category of each hit.
    ConnectorNo auth