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281,414 tools. Last updated 2026-07-10 08:10

"General or unclear search query" matching MCP tools:

  • Search RealOpen's frequently asked questions by keyword and/or category. Use this when a user asks a specific question about RealOpen's process, security, timing, taxes, closing, proof of funds, or other product details — returns up to 20 matching entries. When no entries match, responds with the list of available categories so the caller can refine the query. Prefer this over guessing from general knowledge.
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  • Lists perspectives — either browsing one workspace or searching by title across every workspace the user can access. Items include perspective_id, title, status, conversation count, and workspace info. Behavior: - Read-only. - Browse mode (workspace_id, no query): lists every perspective in that workspace. - Search mode (query): matches against the perspective title across accessible workspaces. Optional workspace_id narrows the search. Query must be non-empty and ≤200 chars. - Errors with "Please provide workspace_id to list perspectives or query to search." if neither is given. - Pass nextCursor back as cursor; has_more indicates further results. When to use this tool: - Resolving a perspective_id from a name the user mentioned (search mode). - Browsing a workspace's perspectives to pick or summarize. When NOT to use this tool: - Inspecting one known perspective in detail — use perspective_get. - Aggregate counts or rates — use perspective_get_stats. - Fetching conversation data — use perspective_list_conversations or perspective_get_conversations. Examples: - List all in a workspace: `{ workspace_id: "ws_..." }` - Search by name across all workspaces: `{ query: "welcome" }` - Search within a workspace: `{ query: "welcome", workspace_id: "ws_..." }`
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  • Estimate credits for a Cannon Studio generation request before creating billable work. Requires OAuth or a developer API key; it may update key/token usage metadata but does not spend credits, enqueue jobs, or change assets. Use get_api_operation first if operation or input fields are unclear, then pass the same operation/input pair to create_generation_request after user approval.
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  • 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 5 credits). This is the sweet spot for most agent tasks, e.g. basic + include_answer = 8 credits, much cheaper than a full 25-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. Args: query: The search query search_depth: "basic" (default) for extracted page content (3 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 5 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"
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  • Tell support something went wrong, file a bug, request a feature, or flag a slow query. Zero LLM cost, zero credits. Call this when: - A `query_data` result looks wrong or misleading (pass the `query_id` from that response — support uses it to investigate the issue). - You hit a confusing error or the same query keeps failing. - A query took unreasonably long (still pass `query_id` if available). - You wish mrmarket.ai supported something it currently doesn't. This is the PREFERRED support channel because it auto-links to the query trace; email is slower and requires the user to copy/paste the query_id manually. Categories: - wrong_data → result was incorrect / numbers look off - bug → something crashed or the response was malformed - slow → query took too long or timed out - feature_request → "I wish it could do X" - general → catch-all if none of the above fits
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  • Search 360° captures (panoramic site photos) by visual content analysis. Searches what is VISUALLY SEEN in 360° captures — safety hazards, quality issues, work types, objects, equipment, materials, and physical site conditions. Do NOT use for capture counts or statistics — use `ask-about-project-data` instead. **WORKFLOW:** - **Default**: call this tool with only `query` (and optionally date filters / limit). The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to search a different project than the saved one. **Date filtering:** Only use start_date/end_date when the user explicitly mentions dates. Format: YYYY-MM-DD. Omit entirely for general queries without date context. Args: query: Keywords or phrases describing what to find in 360° captures team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. limit: Maximum number of results (default: 10) start_date: Start date filter, YYYY-MM-DD (omit if no date context) end_date: End date filter, YYYY-MM-DD (omit if no date context) Returns: ToolResult: Image viewer links, 3D coordinates, and capture dates
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  • 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.
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  • Searches live flight offers between an origin and destination for given travel dates. Supports one-way (omit return_date) and round-trip searches with flexible passenger counts and cabin class. Use this when the user wants to compare available flights, airlines, prices, layovers, or booking links for a specific route. Do not use it for rental cars, hotels, trains, or general travel planning unless the user has flight-search intent. The tool queries external flight aggregator APIs in real time, returns price-ranked results grouped by number of stops, and includes affiliate booking links. Results and booking links are valid for approximately 15 minutes due to real-time airline pricing. It does not book flights, modify reservations, charge users, or store user data.
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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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  • Tell support something went wrong, file a bug, request a feature, or flag a slow query. Zero LLM cost, zero credits. Call this when: - A `query_data` result looks wrong or misleading (pass the `query_id` from that response — support uses it to investigate the issue). - You hit a confusing error or the same query keeps failing. - A query took unreasonably long (still pass `query_id` if available). - You wish mrmarket.ai supported something it currently doesn't. This is the PREFERRED support channel because it auto-links to the query trace; email is slower and requires the user to copy/paste the query_id manually. Categories: - wrong_data → result was incorrect / numbers look off - bug → something crashed or the response was malformed - slow → query took too long or timed out - feature_request → "I wish it could do X" - general → catch-all if none of the above fits
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  • 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.
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  • Searches live flight offers between an origin and destination for given travel dates. Supports one-way (omit return_date) and round-trip searches with flexible passenger counts and cabin class. Use this when the user wants to compare available flights, airlines, prices, layovers, or booking links for a specific route. Do not use it for rental cars, hotels, trains, or general travel planning unless the user has flight-search intent. The tool queries external flight aggregator APIs in real time, returns price-ranked results grouped by number of stops, and includes affiliate booking links. Results and booking links are valid for approximately 15 minutes due to real-time airline pricing. It does not book flights, modify reservations, charge users, or store user data.
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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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  • Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.
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  • List every US state that has treatment facility data in this directory, with per-state facility counts. Returns an array of {state, stateAbbr, count}. Use as a first step when the user's location is unclear, or to discover where coverage exists before calling search_facilities.
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  • Browse Comic Vine's comic-book creator directory (writers, artists, inkers, letterers, colorists). Filter by name; paginate with limit/offset. NOT a general biography search — for actors use TMDb, for general bios use Wikipedia.
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  • Full-text book search across Open Library works. Supports field filters (title, author, subject, publisher, ISBN, language) and returns work-level records with edition counts, cover IDs, and reading availability. Use query for general search or combine specific field filters. Results are work-level — drill into editions via openlibrary_get_editions.
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  • Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 25 credits. Returns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts). Args: query: The research question or topic topic: "general" (default) or "news" (prioritize recent news articles) freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD" max_sources: Maximum number of sources to use, 5-30 (default 20)
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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, and summaries 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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  • Get YouTube search autocomplete suggestions for a partial query. Returns the normalized query and an array of suggested search phrases. Optional language and location codes localize suggestions (defaults: en, US). Cost = 8 tokens.
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