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570,380 tools. Updated 2026-09-15 04:34

"Search results for proofcut" 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 10 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 12 credits, much cheaper than a full 50-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, relaxed_query (set when the query matched nothing and was retried once with its site: operator, else its quotes, removed - the results answer that looser query). Args: query: The search query search_depth: "basic" (default) for extracted page content (2 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 10 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"
    ConnectorNo auth
  • Search Epinu real-asset projects. Returns bounded summaries only; call projects_get_deep_dive for detailed packets. Results include public projects plus the token owner's own archived, draft, or unpublished projects for duplicate checks; another owner's unpublished projects are never returned. Available without a token for public results only.
    ConnectorNo auth
  • Search a registry for packages matching q. registry=all fans out to npm, Docker Hub, and the VS Code Marketplace and merges the results. PyPI has no public search API, so registry=pypi returns 400 not_supported — look a PyPI package up by name via get_package instead. Results are normalized PackageSummary items (npm adds a relevance score; Docker adds isOfficial).
    ConnectorNo auth
  • Search the Melvea local honey directory by free-text query and return matching producers as a list of results (id, title, url). Designed for ChatGPT Deep Research and Company Knowledge. Use for any local-honey discovery query that names or implies a place; the tool parses place and varietal from the query. Returns an honest empty list when nothing matches — never fabricate. Pair with fetch to retrieve full producer detail.
    ConnectorNo auth
  • Google Images search for AI agents at $0.010 per call, from the same Serper.dev source as /web/search. Send a query, get back compact JSON: top image results with position, title, image URL, source page link and dimensions. Tune with num (1-10 results), country and language (2-letter codes). Zero results is a valid, honest answer. Pay per call in USDC on Base, no account, no API key.
    ConnectorNo auth
  • Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).
    ConnectorNo auth

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  • Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).
    ConnectorNo auth
  • Search memories by keyword. The query must use vocabulary that appears in stored labels, descriptions, or tags — not intent summaries or paraphrases. Pass node_kind (space-separated) to list or search within specific kinds — unrelated kinds that happen to match query text are excluded. Omit query with node_kind set to list matching kinds ordered by most-recently-updated. Default limit: 10. Use exact=true for identifiers (ticket numbers, short codes with hyphens) — FTS tokenises hyphens away so 'PROJ-042' is not found by default. If search returns zero or truncated results, use orient (with domain) to browse all memories, then recall by ID, then follow connections from a known memory. Returns lean results only — id, label, and a truncated why_matters excerpt; call recall(id) for full content. When a list or section has 2 or more results, each is rendered as a single compact text line — "[id] label — excerpt (domain, node_kind)" — instead of a JSON object; exactly one result is returned as a full object. exact=true is exempt — it always returns full objects, regardless of result count. state (space-separated union) post-filters results to memories with any of the given lifecycle states: none | resolved | superseded | contested. On failure, content[0].text is JSON: {"error_class": "retryable|forbidden|internal", "message": "..."}. Switch on error_class: retry on retryable.
    ConnectorAPI key
  • Search every loaded collection (or one, with `collection` = code, bills, or opinions) and return up to ten results as {id, title, url}. A Code or constitution citation, bill number, or docket in the query comes first. Search matches the words of the document. Ask in the words the document would use, not the words of the question. Follow with fetch(id).
    ConnectorNo auth
  • Search docs, presentations, videos, whiteboards, sheets, and other designs in Canva, except for templates or brand templates. Use when you need to find specific designs by keywords rather than browsing folders. Use 'query' parameter to search by title or content. If 'query' is used, 'sortBy' must be set to 'relevance'. Filter by 'any' ownership unless specified. Sort by relevance unless specified. Use the continuation token to get the next page of results, when there are more results. CRITICAL REQUIREMENTS: 1. ALWAYS use the 'search-brand-templates' tool when the user is searching for templates or wants to use a template. 2.** 🚫 When a user says search a template, they ALWAYS mean brand-templates. Therefore NEVER call this tool, ALWAYS call the 'search-brand-templates' tool to search for the templates. ** 3.** 🚫 NEVER use this tool when the user expresses intent to “generate”, “create”, “autofill”, “search a template”, “start from a template”, “use my template”, or “pick a template for generation”. In all such cases, ALWAYS use search-brand-templates. ANY query involving: – “generate a presentation” – “generate a report” – “make a design using a template” – “generate from a template” – “produce a presentation from their template” - "search for available templates" MUST NOT use search-designs. This tool ONLY searches existing designs (docs, presentations, whiteboards, videos, etc.) that the user already owns or that are shared with them. It DOES NOT find templates and MUST NOT be used as a fallback for template selection. **
    ConnectorOAuth
  • 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
  • Search across ALL networks at once for tokens, pools, and DEXes by name, symbol, or address, returning three arrays: 'tokens', 'pools', and 'dexes'. Read-only and keyless. This is the cross-chain entry point when you do not yet know which network something lives on; once you have a network slug from the results, switch to the network-scoped tools. Use for 'find PEPE', 'what is the address for USDC', or 'which chain is this token on?'. No matches returns empty arrays, not an error. Params: query (required; a name, symbol, or contract address, e.g. 'uniswap', 'bitcoin', or '0x...'); limit (optional, caps results per category, applied client-side).
    ConnectorNo auth
  • Get the full input/output contract for a financial calculator. Returns field names, types, defaults, and hints so you know exactly what inputs to collect from the user before running a calculation. Args: owner_username: The view owner's username (from search results) viewname: The view's URL slug (from search results)
    ConnectorNo auth
  • Search Deal Flow's marketplace deals (the public feed, filtered by this query) and, once this connection is bound to a company, the member's own notes. Returns up to 10 of each as { results: [{id, title, url}] } - each id round-trips into `fetch`. For clients that only speak search/fetch (e.g. ChatGPT's chat connector mode); connections_pulse and connections_execute cover the full native tool roster.
    ConnectorOAuth
  • Search every public dataset on Mostly Right and return up to 20 matches as {results: [{id, title, url}]}, where `id` is the dataset slug and `url` its canonical page. No account needed. Example: {"query": "hourly airport weather observations"}. Pass a result's `id` straight to fetch for the full dataset document. This is the plain search-and-fetch pair; search_datasets is the richer, paged version with topics, publishers and summaries.
    ConnectorNo auth
  • Search the Remno marketplace for services. Returns ranked results with pricing. Use for semantic search — for browsing by category, use ae_list_services.
    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
  • Search published public SkinKnowledgeBase Question pages. Required input: query string. Optional inputs: filters for concern, ingredient, product, or side_effect; limit 1-25; cursor. Returns public question search results with identifiers and canonical URLs for follow-up retrieval.
    ConnectorNo auth
  • Web search returning the top results as markdown, via Jina. Needs a Jina API key (pass via _apiKey) — Jina stopped serving anonymous requests.
    ConnectorNo auth
  • List deals in your Sieve pipeline. Search by company name or list all deals. Returns deal metadata including Sieve scores for screened deals. Args: search: Search by company name (partial match). Empty returns all. limit: Maximum results to return (1-100, default 20).
    ConnectorNo auth
  • OpenAI deep-research / company-knowledge compatibility. Search Cyclesite's active UK used-bike listings by free-text query (matches title, brand, model). Returns the canonical OpenAI shape: { results: [{ id, title, url }] }. Use the id to call fetch() for the full document.
    ConnectorNo auth