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207,057 tools. Last updated 2026-06-17 18:50

"A search for Geographic Information Systems (GIS)" matching MCP tools:

  • Search for geographic locations by category (CITY, ST, CNTY, CNTRY, ZIP, CLIM_REG, etc.). Returns location IDs used in station search and data queries. Without locationCategoryId, returns all location types. Use locationCategoryId=ST to list US states (51 entries — small enough to retrieve completely). Use locationCategoryId=CITY for cities (thousands of entries — use pagination and sortField=name to navigate alphabetically). The CDO API has no name-search parameter; to find a specific city, sort alphabetically with sortField=name and page through results. Location IDs: states as FIPS:37 (NC), cities as CITY:US530031, zip codes as ZIP:98101, countries as CNTRY:US. Obtain location IDs here, then pass them to noaa_find_stations or noaa_fetch_data.
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  • Convert a place name or address to geographic coordinates and structured place data via Nominatim/OpenStreetMap. Accepts either a free-form query string (e.g., "Space Needle Seattle") or structured address fields (street, city, state, etc.) — the two modes are mutually exclusive. Returns results ordered by Nominatim relevance (importance score). Use countrycodes to restrict results to specific countries. For exhaustive POI lists in an area, use openstreetmap_query_nearby or openstreetmap_query_bbox instead — Nominatim search returns best matches, not all matching objects.
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  • Search for medical procedure prices by code or description. Use this for direct lookups when you know a CPT/HCPCS code (e.g. "70551") or want to search by keyword (e.g. "MRI", "knee replacement"). For code-like queries → exact match on procedure code. For text queries → searches code, description, and code_type fields. Supports filtering by insurance payer, clinical setting, and location (via zip code or lat/lng coordinates with a radius). NOTE: Results are from US HOSPITALS only — not non-US providers, independent imaging centers, ambulatory surgery centers (ASCs), or other freestanding facilities. Args: query: CPT/HCPCS code (e.g. "70551") or text search (e.g. "MRI brain"). Must be at least 2 characters. code_type: Filter by code type: "CPT", "HCPCS", "MS-DRG", "RC", etc. hospital_id: Filter to a specific hospital (use the hospitals tool to find IDs). payer_name: Filter by insurance payer name (e.g. "Blue Cross", "Aetna"). plan_name: Filter by plan name (e.g. "PPO", "HMO"). setting: Filter by clinical setting: "inpatient" or "outpatient". zip_code: US zip code for geographic filtering (alternative to lat/lng). lat: Latitude for geographic filtering (use with lng and radius_miles). lng: Longitude for geographic filtering (use with lat and radius_miles). radius_miles: Search radius in miles from the zip code or lat/lng location. page: Page number (default 1). page_size: Results per page (default 25, max 100). Returns: JSON with matching charge items including procedure codes, descriptions, gross charges, cash prices, and negotiated rate ranges per hospital.
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  • Search the BLS series catalog by natural language query, survey code, geographic area, or keywords to resolve cryptic SeriesIDs. Returns matching series with decoded components (survey, area, item, seasonal flag) and plain-language names. Use this before bls_get_series when you have a concept but not a SeriesID. Operates offline — no API quota consumed. Survey filter accepts two-letter codes (CU, CE, LN, LA, PC, JT, OE, EC, PR). Area filter accepts state names, MSA names, or FIPS area codes.
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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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  • Find Meteostat weather station IDs by place name and/or geographic proximity — the lookup you need BEFORE get_daily_history / get_monthly_normals (which require a station_id). Search by name ("San Francisco", "Heathrow"), filter by country (ISO-2 like "US", "GB"), and/or rank by nearest to a lat/lon. Returns each station's id, name, country, region, coordinates, elevation, timezone, and data inventory (which granularities — hourly/daily/monthly — are available and their date ranges, so you can pick a station that actually has the period you need). Use for "weather station near X", "what is the station ID for Y", "stations in country Z".
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Matching MCP Servers

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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
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    MIT
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    A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.
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    MIT

Matching MCP Connectors

  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • AI-powered domain & business name generation with real-time availability checks.

  • 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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  • Return RealOpen's current geographic coverage, supported property types, and international availability. Use this whenever a user asks whether RealOpen operates in a particular state, country, or property type (residential vs. commercial, primary vs. investment, etc.).
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  • Search hotels by DESTINATION (city, region, or landmark), dates, and guest count — the `destination` param is geographic, NOT a hotel name. To act on a SPECIFIC named hotel ("the Wynn", "Bellagio"), resolve it first with pricetik_destinations (which returns a providerPropertyId for a named property) and pass that to pricetik_hotel_watch_rate / _get_booking_url / _details. Returns properties with the lowest available nightly rate cached on PriceTik. Filter by lifestyle segments, hotel chain (or excluded chains), accommodation type, and the always-on "no resort fees" / "free breakfast" / "pet friendly" flags. Use `nearPoiLat` / `nearPoiLng` / `nearPoiRadiusKm` to pin the search center to a specific point of interest (e.g. "the Strip" rather than "Las Vegas"). Use the returned providerPropertyId with pricetik_hotel_price_check for live rates. Direct REST callers can append `?stream=ndjson` (or send `Accept: application/x-ndjson`) for incremental NDJSON output — header frame ships first, then one frame per property, then a closing summary. Use this for hotels only; for a single-call hotel + activity stitch, use pricetik_trip_plan instead.
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  • Search across 19.4 million Smithsonian objects by text query and optional filters. Filters narrow by museum unit, object type, decade, culture, geographic place, and online/CC0 availability. Returns curated summaries (title, date, museum, thumbnail URL, CC0 flag) with the total match count. The record_id in each result is the identifier for smithsonian_get_object, smithsonian_find_related, and smithsonian_get_media.
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  • List all PSGC entities of a given geographic level. Barangay (Bgy) is excluded because there are 42,000+ barangays. To find barangays, use 'search' with a name query or 'list_children' on a city/municipality. Paginated (default limit: 50).
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  • Aggregated World Bank poverty estimates at the regional/group level (not per-country). Returns headcount, poverty gap, mean welfare, and total population in poverty for each group. group_by controls the aggregation: "wb" = World Bank geographic regions, "inc" = income groups (HIC/UMIC/LMIC/LIC), "none" = global total.
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  • Address-first parcel lookup powering the /permits experience. Geocodes a Seattle-area address (King, Pierce, or Snohomish County, WA), resolves the parcel from the county GIS, and returns zoning, setbacks, overlays (shoreline / ECA / flood / historic), lot area, jurisdiction routing, and prior-permit history. Every fact is cited to the city/county source. Use for "what can be built at 123 Main St Seattle?" or before calling check_permit_requirements / estimate_permit_fee for a specific parcel.
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  • Search real estate transactions within a geographic polygon. Provide a GeoJSON Polygon geometry to search within a custom area. Returns transactions found inside the polygon with coordinates. Use for precise neighborhood/osiedle boundaries. Can estimate coordinates from search_by_area results. For quick searches, start with search_by_area instead. Coordinates are [longitude, latitude]. First and last point must be identical. Permalink: every result is shareable on the map. From a result's "id:" line and its "Location: <A>°N, <B>°E" line, build https://cenogram.pl/ceny-transakcyjne#v=1&lat=<A>&lng=<B>&z=16&tx=<id> (drop the °N/°E; lat = the °N number, lng = the °E number) — opens that exact transaction on the map. Omit &tx=<id> for the area only. Field provenance: values are from the notarial deed (RCN) by default; computed values (parcel area summed across plots or converted from hectares, an inferred/reclassified property type) and approximated streets are flagged inline with a neutral [...] note. Example: {"type":"Polygon","coordinates":[[[21.0,52.2],[21.01,52.2],[21.01,52.21],[21.0,52.21],[21.0,52.2]]]}
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  • Search poems by title or keyword. Returns matching poems with full text and author information. Use when looking for a specific poem or exploring a theme.
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  • Brave Local Search API returns enriched information (address, phone, hours, rating) for location-search results. Access requires the Brave Search API Pro plan; currently US-only. Two-step flow: first call `brave_web_search` with `result_filter=locations` to obtain `locations.results[].id`, then pass them here. NOTE: This tool takes location IDs from a prior web-search response; if you have a free-text query, call `brave_web_search` first.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Find all state legislators representing a geographic coordinate. Pass latitude and longitude to get state senators and representatives (and potentially governor/executive officials) for that location. Useful for constituent-to-representative matching, address-based policy research, and electoral boundary analysis. This server does not geocode addresses — the caller must provide decimal-degree coordinates. Use include=offices to get contact information alongside the legislator list.
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  • Get comprehensive giving statistics for a funder. This tool calculates aggregate statistics about a funder's grantmaking from IRS 990-PF data, web-extracted grant records, 360Giving rows, CRA T3010 rows, and ACRI rows. It provides lifetime totals, focus areas, geographic distribution, and year-over-year trends. Pass ``ein`` for US 990 foundations, or ``funder_id`` (bare UUID / ``n9f:<uuid>``) for non-990 funders.
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  • Canonical list of HIBP "data class" tags (e.g., "Email addresses", "Passwords", "Geographic locations"). Useful for filtering breaches.
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