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filmmap-mcp: drop the record counts from the entry
The entry said 15,272 locations and 12,762 titles; the atlas is already past both and moves most weeks, so a number welded into this list goes stale the week it merges. Says "thousands of" instead, per the same feedback HarelM gave on awesome-maplibre. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TeuhSJtXDi5yA7dzwaAAtJ
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Claude Opus 5
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@@ -2521,7 +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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- [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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- [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/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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- [Flightmussy/filmmap-mcp](https://github.com/Flightmussy/filmmap-mcp) [](https://glama.ai/mcp/servers/Flightmussy/filmmap-mcp) 📇 ☁️ 🏠 - Query thousands of real filming locations worldwide and the 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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- [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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- [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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- [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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