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GIS MCP Server

@mahdin75

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

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

GIS MCP Server 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"
      ]
    }
  }
}

GIS MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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?

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.

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

常见问题

1

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.

2

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.

3

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`.

4

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.

5

Is GIS MCP Server stable?

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

评论

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