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    Enables AI agents to answer civic questions about Virginia state, county, and municipal public data, including zoning, parcel, boundary, and Code of Virginia lookups, with provenance on every answer.
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    Apache 2.0
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    Provides live California road conditions, route planning, and an AI assistant over MCP, enabling natural-language queries about traffic, closures, chain controls, and more.
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    MIT
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    MCP server that provides statistically rigorous weather and climate context by exposing the Baseline API as agent tools, enabling queries about climate conditions and comparisons against historical data.
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    267 PyPI
    MIT
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    Search 8,000+ corporate event venues across 40+ cities. Tools for venue search by capacity/category, pricing guides, expert advice articles, and inquiry handoff. Read-only, PII-redacted, UTM-attributed.
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    4 npm
    MIT
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    A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.
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    MIT
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    Enables natural language queries about UK postcodes and vehicles, including flood risk, crime rate, broadband coverage, property prices, MOT history, and ULEZ compliance.
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    30 npm
    MIT
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    Enables natural-language queries about real filming locations and the productions recorded at them, including search, proximity, and ranking tools.
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    MIT
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    Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.
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    40 npm
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    MIT
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    Provides access to geographical and tourism information about Colombia, including regions, departments, cities, and tourist attractions through the API Colombia service.
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    4 npm
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    MIT
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    Enables querying an OwnTracks Recorder for current and historical location data, including addresses, stays, distances, devices, and status, through read-only MCP tools. It supports natural-language questions about where someone is or was and how far they are from home.
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    MIT
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    Enables AI assistants and developers to search 1,000+ public bikeshare systems and fetch live station, free-floating vehicle, alert, and vehicle-type data through the General Bikeshare Feed Specification.
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    MIT
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    Enables LLMs to answer everyday questions about Charlotte, NC using official public data from the city's open data portal, including crime, 311 requests, zoning, transit, city services, and government transparency.
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    MIT
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    Enables natural-language spatial analysis of transmission lines and wildlife/public access lands using Claude, MCP, and DuckDB. Users can ask questions about intersections, distances, buffers, and other GIS operations without writing SQL.
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