GIS MCP Server

Name: GIS MCP Server
Author: mahdin75

@mahdin75

关于 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

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

mahdin75

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

FAQ from GIS MCP Server

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.

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