Gis Mcp
A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.
MCP servers for geolocation, mapping APIs, routing, and geographic data.
MCPpedia tracks 511 maps & geo MCP servers. 62 of them score at least 50 out of 100, and 23 clear 70 — about 5% of what has been published in this space. The remaining 449 are thinner: registry entries with no description, no published tool schema, or no commit in the last year. They are all still listed here, because knowing a server exists and is unmaintained is worth as much as knowing a good one exists.
Gis MCP leads the list at 90/100. io.github.kingbbs/yiditu-mcp (87) and io.github.yanislav-igonin/random-design-mcp (86) follow. Every score is the same five weighted inputs: security (CVE scanning, tool-poisoning detection, and whether the server authenticates at all), maintenance (commit recency, release cadence, and download trend), documentation, client compatibility, and token efficiency — how much of your context window the tool definitions consume before you have asked anything.
3 of these servers are published by the vendor behind the underlying API rather than by a third party, which is usually the difference between an integration that tracks upstream changes and one that quietly stops working. None currently carry an open CVE, though that is a snapshot — advisories are re-scanned daily.
Also see: All Maps & Geo servers, Best Productivity, Best Developer Tools, Best Data, Best Finance
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A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.
I Ching hexagram analysis and geographic feng shui for Taiwan locations
Generate randomized English Markdown frontend design directions from curated catalogs.
Bounding box(bbox) GIS tool: coords conversion, EPSG, WKT, GeoJSON, H3, Overpass, POI, map viz
SUMO-MCP 是一个连接大语言模型 (LLM) 与 Eclipse SUMO 交通仿真的中间件。通过 Model Context Protocol (MCP),它允许 AI 智能体(如 Claude, Cursor, TRAE等)直接调用 SUMO 的核心功能,实现从OpenStreetMap 数据获取、路网生成、需求建模到仿真运行与信号优化的全流程自动化。
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
Solar indices and space weather MCP server. SFI, SSN, Kp, DSCOVR, NOAA alerts.
Provides AI assistants with direct access to Mapbox developer APIs and documentation.
Fast - accurate weather conditions and forecasts by city or coordinates.
Model Context Protocol server for Open-Meteo weather APIs