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Add Flightmussy/filmmap-mcp to Location Services
A hosted, key-free MCP server over 15,272 filming locations and the 12,762 productions recorded at them, from the CC0 FilmMap dataset built on Wikidata. Same house as castlemap-mcp, sunshine-atlas-mcp and trainrouter-atlas, which are already listed.
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@@ -2521,6 +2521,7 @@ Location-based services and mapping tools. Enables AI models to work with geogra
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- [devilcoder01/weather-mcp-server](https://github.com/devilcoder01/weather-mcp-server) 🐍 ☁️ - Access real-time weather data for any location using the WeatherAPI.com API, providing detailed forecasts and current conditions.
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- [discava/mcp-server](https://github.com/discava/mcp-server) 📇 ☁️ - Search Millions of local businesses worldwide (Europe, Northamerica, Southamerica, Asia, Oceania), confidence scores, and agent trust rankings. No API key required. [](https://glama.ai/mcp/servers/discava/mcp-server)
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- [Flightmussy/castlemap-mcp](https://github.com/Flightmussy/castlemap-mcp) [](https://glama.ai/mcp/servers/Flightmussy/castlemap-mcp) 📇 ☁️ 🏠 - Query 2,400 castles, fortresses and palaces across 131 countries (coordinates, founding dates, fame ranking, Wikipedia summaries) from the open CC0 Castlemap dataset built on Wikidata. Hosted endpoint needs no API key; the zero-dependency server can also be self-hosted.
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- [Flightmussy/filmmap-mcp](https://github.com/Flightmussy/filmmap-mcp) [](https://glama.ai/mcp/servers/Flightmussy/filmmap-mcp) 📇 ☁️ 🏠 - Query 15,272 real filming locations across 161 countries and the 12,762 films, series, games and anime recorded at them: where a title was shot, what was shot at a place, what is nearby, ranked by fame. Films and series are placed by filming location, games and anime by narrative location, and the two are never mixed. Open CC0 dataset built on Wikidata. Hosted endpoint needs no API key; the zero-dependency server can also be self-hosted.
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- [Vortx-AI/emem](https://github.com/Vortx-AI/emem) [](https://glama.ai/mcp/servers/Vortx-AI/emem) 🦀 ☁️ - Earth memory MCP server that gives AI agents signed geospatial facts and cite-able receipts for place-based questions. Covers elevation, land cover, surface water, vegetation, and built-up context. Public endpoint at `https://emem.dev/mcp`.
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- [markpdxt/dronelytics-mcp](https://github.com/markpdxt/dronelytics-mcp) [](https://glama.ai/mcp/servers/markpdxt/dronelytics-mcp) 📇 ☁️ - US drone airspace intelligence and mission planning. 24 tools: check airspace restrictions across 11 FAA data layers, plan grid/orbit/corridor surveys, validate Part 107 compliance, generate pre-flight briefings, and export to KML/GPX/QGC/Litchi/WPML. Available via `npx @dronelytics/mcp`.
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- [gaopengbin/cesium-mcp](https://github.com/gaopengbin/cesium-mcp) [](https://glama.ai/mcp/servers/gaopengbin/cesium-mcp) 📇 🏠 🍎 🪟 🐧 - AI-powered 3D globe control via MCP. Connect any MCP-compatible AI agent to CesiumJS — camera flight, GeoJSON/3D Tiles layers, markers, spatial analysis, heatmaps, and more through 19 natural language tools.
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