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579,714 tools. Updated 2026-09-16 09:48

"A search for AMap or a map" 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.
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  • Returns static route metadata: short and long name, vehicle type, brand colour, ordered stop lists for both directions, and route polylines (shapes) for map rendering. Use when the user asks which stops a route serves, what a route looks like on a map, or what the scheduled departure times are (workday and weekend schedules are included in each stop's `schedule` field). Do NOT use this when live vehicle positions are needed — use `get_route_realtime` instead. Requires a route short name (e.g. "T30", "32A") or numeric external ID; call `get_stops_around_location` first if you only know a location and need to discover which routes serve it.
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  • Creates a road trip on Stopful, or updates one plotted earlier, and returns an interactive map of it — adding, removing, reordering or renaming stops, changing nights, dates or party size, and redrawing the route. Renders a multi-stop driving route as an interactive map and returns a link to it, plus an inline map in clients that support one. Takes a list of stops in driving order, each with a place name, optional decimal lat/lon and number of nights; a stop without coordinates is geocoded from its name, and coordinates that fall far from where the name resolves are reported back in the result. Accepts an optional trip name, start date, party size, and a day-by-day itinerary that becomes a day view over the map. The map shows per-leg drive times and distances and an estimate of what the trip will cost before anything is booked, and is editable: the traveller can drag a pin to move a stop or drag the route to add one, and their changes are saved to the trip. Covers road trips and other multi-stop routes; a single destination or a route with no stops to draw has nothing to render. The result contains the map link, the trip as structured data, and the trip's `id` (see the `id` parameter for updating an existing trip).
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  • Attach real search data to one article idea that is already in the project — runs one live Google search per target keyword and returns volume bands and the pages currently ranking for each. Use after create_article_suggestion_with_input, or on any existing suggestion the operator wants judged on data instead of instinct. Opportunity score and cluster placement are returned only when the project has a completed research run to compare against; on a project without one they are absent, and start_research_run is what produces them. Do not use to find new ideas or map a niche — that is start_research_run. Consumes no credits; daily- and monthly-capped per account.
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  • Runs calculate_payslip for many employees in one call and returns the run totals: gross, employee deductions, net, and employer cost. Reach for this the moment more than two or three people are in play. A monthly payroll is not a sequence of unrelated questions — the employer share, the totals and the run id only mean anything across the whole run. Asking one employee at a time gives no total and no way to tell a retry from a second run. Put anything shared in defaults (prefecture, business_type, column) and let each row carry only what differs, which is usually pay and age. A row that cannot be computed comes back in errors with its index and id while the rest of the run completes — do not discard a whole payroll over one bad row. The reply carries a run_id derived from the route and the exact input, so sending the same payroll twice gives the same id. Nothing is stored, so a retry cannot double-count.
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  • Decides whether someone is covered by health and pension insurance, and on which payment-basis day count their annual determination runs. Call this before decide_regular_remuneration or judge_monthly_revision whenever the person is anything other than plainly full-time. Those tools take a worker_type, and guessing it changes a real number: the determination counts months of seventeen payment-basis days for an ordinary employee and eleven for a 短時間労働者. Get the classification wrong and the answer is wrong with no sign of it. 健康保険法第3条第1項第9号 covers anyone whose weekly hours and monthly days reach three-quarters of a comparable full-time worker. Below that, four further tests decide it: twenty hours a week, 88,000 yen a month, not a student, and a workplace of at least fifty-one insured people. The engagement must also be expected to run past two months. The 88,000 figure leaves out overtime, bonuses, commuting and family allowances. Folding those in is the usual route to a wrong answer, so ask for 所定内賃金 specifically rather than total pay. What counts as a comparable full-time worker, and whether someone is a student for this purpose, are facts about the workplace and the person. Ask rather than assume; the tool applies the tests to what you pass and names any it could not evaluate.
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Matching MCP Servers

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    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    A
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    Enables clients to access 21 cloud-hosted financial tools via a token-authenticated forwarding layer that relays tool calls to the Silkj E-Investment skill gateway. Supports stdio, Streamable HTTP, and hosted deployment modes without embedding any financial algorithms locally.
    21
    MIT

Matching MCP Connectors

  • Search Quantustik for S&P 500 tickers by symbol or company name. Paired with fetch — this is the two-tool "search"/"fetch" convention ChatGPT connectors and deep-research clients expect from an MCP server: call search first to get lightweight hits, then fetch(id) on the one(s) worth reading in full. Args: query: Ticker symbol (e.g. "NVDA") or company-name substring (e.g. "nvidia", "apple"). Case-insensitive. Returns a dict with a `results` list of up to 10 {id, title, url} objects — id is the ticker symbol, ranked exact-symbol match first, then company-name/ticker prefix, then substring. Empty query or no scan data returns an empty list, never an error.
    ConnectorNo auth
  • Map the conceptual landscape around a topic ACROSS THE PAPER CORPUS. Searches papers and their chunks, not the layer-2 claim graph — for published CLAIMS on a topic use methodist_explore_topic. Instead of returning a ranked list of papers, returns N distinct conceptual clusters with representative chunks. Built on keyConcept LLM-extracted markers diversification. Use for "what approaches exist to X" queries — answers with thematic map rather than ranked list. Better than search when you want breadth over depth. Temporal bias note: for topics with dense recent literature (e.g. current LLM research), the default ordering favors recent papers because vector similarity finds them first; specify dateTo for historical exploration of mature topics, or dateFrom+dateTo to slice a specific era. Diversification cap (maxClustersPerPaper) limits how many clusters can have the same source paper as representative chunk — protects against single-paper dominance.
    ConnectorAPI key
  • For work whose April-June happens to be its busiest or quietest quarter, where the ordinary calculation would fix a grade that is wrong for eleven months of the year. Available for 定時決定 (since April 2011) and 随時改定 (since October 2018). The 随時改定 figure is NOT a plain twelve-month average: it is the three-month average of FIXED pay plus the twelve-month average of NON-FIXED pay, so the two are supplied separately, and three distinct grade tests must all pass. Both routes need the employee's consent and require that the swing recurs every year for reasons inherent to the work — a one-off busy period does not qualify. Neither is something this tool can verify, so both are declared inputs and are echoed back in the response.
    ConnectorNo auth
  • Search everything GolfCore holds for 30,000 golf courses in 153 countries. Ask by course name ('Pebble Beach'), by slug ('pebble-beach'), by place ('golf courses in Fife', 'Monterey'), or about GolfCore itself ('what does a caddie master use GolfCore for'). A course comes back with its address, town, region, country, coordinates, timezone, phone and website; flags for what GolfCore has mapped -- lidar green contours, a traced map of fairways, tees, greens, bunkers and water, a live wind grid, a scorecard, USGA ratings; and, when scope includes scorecards, its full card: par, yardage and stroke index for every hole, and yardage, par, course rating and slope rating for every tee, separately for men and women. Places come back as the town, region or country page that counts and lists every course there. Pages come from GolfCore's own site. Every result carries the url to cite, and a course's page carries the green figures this tool does not: greens mapped, contour count and interval, largest green elevation span, steepest measured slope, and tree canopy.
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  • 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. **
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  • Returns static map context for a stop: its marker and polylines for every route that serves it. No live data is fetched. Use this when you need to enrich an existing map with route shapes (e.g. overlay polylines alongside a `get_stop_realtime` map block) or when the user asks to visualise which routes pass a stop without needing live arrivals. Do NOT use this when live arrival times or vehicle positions are needed — use `get_stop_realtime` instead. Requires a numeric stop ID; call `get_stops_around_location` first if you only have coordinates.
    ConnectorNo auth
  • Discovers transit stops near a geographic point, returning each stop's numeric code, name, coordinates, and walking distance. Also emits a map UI block with multiple markers for map-capable clients (e.g. ChatGPT). Use this as the **first step** whenever the user provides an address, place name, or coordinates and you need stop IDs before calling `get_stop_realtime` or `get_stop_geometry`. Do NOT use this to fetch arrivals or live vehicle data — it returns stop metadata only. Default radius is 1 000 m; narrow it (e.g. 300 m) for dense urban areas or widen it (up to 3 000 m) for rural locations.
    ConnectorNo auth
  • Look up an airport by city name (e.g. "Tokyo", "New York", "London") OR by 3-letter IATA code (e.g. "JFK", "LHR"). City lookup uses a bundled map of the top ~150 international hubs; cities with multiple airports return all primary ones. For airports not in the bundle, pass an IATA code or use the aviationstack pack for full-text name/country search.
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  • Fetch simplified GeoJSON for a boundary by its ONS census code. Safe to embed directly in generated HTML map files. At the default tolerance (0.0001°) a constituency polygon shrinks from ~4,000 vertices to ~200–400 with no visible difference at normal map zoom levels. Prefer this over get_boundary_geojson_by_code() when writing Leaflet map pages — the full geometry is large enough to exhaust your context window before you can finish writing the HTML.
    ConnectorNo auth
  • WHAT: Substring search (case-insensitive) over https://www.ikeytz.com/llms-keywords.txt (phrase → URL map). REQUIRED q. Default 15 lines, max 30. Empty q → q_required. RETURNS q, count, lines[] (raw TSV-like rows). locale does not filter the file. USE to map a user phrase to URLs. NEXT: get_ai_page on a returned www path.
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  • Read the local search presence of the connected business: Business Profile locations, local ranking for money keywords, and review ratings. Available actions depend on what is connected for this workspace. Use for local and map-pack questions; for national rankings use serp_competitors. Already scoped to the connected workspace and its site; call directly, no domain or site parameter is needed.
    ConnectorOAuth
  • List sitemaps submitted for a Search Console 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 sitemap paths plus submission, download, warning, and error details. Use an exact path from this response with get_sitemap, submit_sitemap, or delete_sitemap. Cost = 5 tokens.
    ConnectorNo auth
  • 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
  • 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