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geo-mcp-servers
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geo-mcp-servers

Active·★ 241·MIT·Updated 2026-10-21
★ Hidden Gem

This repository provides a curated and tracked list of Model Context Protocol (MCP) servers specifically designed for geospatial, GIS, mapping, and earth-observation tasks. It enables AI assistants like Claude to discover, recommend, and integrate with a wide range of geospatial services, from geocoding to satellite imagery and weather data.

geo-mcp-servers sits in the MCP Servers category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Curated catalog of over 100 Model Context Protocol (MCP) servers for geospatial, GIS, and earth-observation tasks.. A representative use case is Easily discover and compare Model Context Protocol servers for various geospatial needs.. The listed license is MIT. GitHub stars are currently 240. Relevant tags include Geospatial, GIS.

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This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Geospatial#GIS#Model Context Protocol#API Catalog#AI Agents#Earth Observation#Developer Tools
$ Install
$ python3 -m venv .venv && ./.venv/bin/pip install -r requirements.txt && ./.venv/bin/python scripts/generate_readme.py
↗ Visit site★ GitHub
01

Features

01Curated catalog of over 100 Model Context Protocol (MCP) servers for geospatial, GIS, and earth-observation tasks.
02Automated generation and health checking of server lists from a single YAML source.
03Provides a Claude Code skill for AI agents to search, recommend, and track geospatial MCP servers.
04Servers are categorized into 11 domains like geocoding, routing, STAC imagery, and weather.
05Detailed metadata for each server, including type (official/community), access (open/commercial), and health status.
02

Why choose it

+Curated catalog of over 100 Model Context Protocol (MCP) servers for geospatial, GIS, and earth-observation tasks.
+Automated generation and health checking of server lists from a single YAML source.
+Easily discover and compare Model Context Protocol servers for various geospatial needs.
+Comes with a clearly listed MIT license.
03

Trade-offs

!Compatibility coverage appears narrow, so your target environment should be validated before adoption.
04

Compatibility

Python
Runtime
Verified via docs
Claude Code
AI Platform
Verified via docs
05

Quick start

1
$ python3 -m venv .venv
2
$ ./.venv/bin/pip install -r requirements.txt
3
$ ./.venv/bin/python scripts/generate_readme.py
06

Use cases

↳Easily discover and compare Model Context Protocol servers for various geospatial needs.
↳Integrate rich geospatial capabilities into AI assistants and large language models (LLMs).
↳Contribute new or existing geospatial MCP servers to a community-maintained, automatically updated catalog.
↳Monitor the health status and access models of a diverse range of geospatial API integrations.
07

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VSBrave Search MCP★1.5k→VSnowaikit★17→VSAwesome-MCP★153→

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07
Alternatives
sparkgeo /
geo-mcp-servers
↗

A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms.

241MIT
Last commit2d ago
StatusActive
CategoryMCP Servers
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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