GIS MCP Server

@mahdin75

Basic information

About GIS MCP Server

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.

#gis-mcp#geospatial-analysis#ai-assistant

GIS MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gis-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mahdin75/gis-mcp"
      ]
    }
  }
}

GIS MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GIS MCP Server?

How to use GIS MCP Server?

Install via pip install gis-mcp or run with Docker (HTTP mode enabled on port 9010). Configure your MCP-compatible client (e.g., Claude Desktop, Cursor IDE) to point to the server. Supports both stdio and HTTP/SSE transports.

Key features of GIS MCP Server

Comprehensive geometry operations (intersection, union, buffer, etc.)
Advanced coordinate transformations and reprojection
Accurate measurements of distances, areas, and lengths
Spatial analysis, validation, proximity checks, and overlays
Raster & vector support (NDVI, clipping, resampling)
Spatial statistics & modeling via PySAL
HTTP/SSE transport with RESTful storage endpoints

Use cases of GIS MCP Server

Environmental analysis and ecological monitoring
Mapping and location intelligence in AI assistants
Geospatial data processing tasks (buffering, joining, clipping)
Building AI agents that “think spatially” for automated GIS workflows

Frequently asked questions

What is GIS MCP Server?

It is an MCP server that connects LLMs to GIS operations using Python GIS libraries, allowing AI assistants to perform geospatial tasks.

How do I install GIS MCP Server?

You can install via pip (`pip install gis-mcp`) or use the provided Docker images (Dockerfile or Dockerfile.local) which run in HTTP mode by default.

What transport does GIS MCP Server support?

It supports both stdio and HTTP/SSE transports. The Docker images enable HTTP mode on port 9010 at `http://localhost:9010/mcp`.

What are the runtime requirements?

Python 3.10 or higher, and an MCP-compatible client (e.g., Claude Desktop or Cursor). Internet is required for package installation.

Is GIS MCP Server stable?

The current version is 0.14.0 (Beta). The project welcomes contributions and is actively developed.

Comments

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