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GeoServer MCP Server

@mahdin75

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

mahdin75

关于 GeoServer MCP Server

A Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API

#geoserver#mcp#ai-assistant

GeoServer 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": {
    "geoserver-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@mahdin75/geoserver-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

GeoServer 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is GeoServer MCP Server?

GeoServer MCP Server is a Model Context Protocol (MCP) server implementation that connects large language models (LLMs) to the GeoServer REST API. It enables AI assistants to interact with geospatial data and services, making it suitable for developers, GIS professionals, and anyone integrating GeoServer with MCP-compatible clients.

How to use GeoServer MCP Server?

Install via Docker (docker pull mahdin75/geoserver-mcp), pip (uv pip install geoserver-mcp), or Smithery (npx -y @smithery/cli install @mahdin75/geoserver-mcp --client claude). Configure the GeoServer connection using environment variables (GEOSERVER_URL, GEOSERVER_USER, GEOSERVER_PASSWORD) or CLI arguments (--url, --user, --password). Optionally set a file‑storage root with --storage. Then integrate with an MCP client (e.g., Claude Desktop, Cursor) by editing its configuration file.

Key features of GeoServer MCP Server

  • Query and manipulate GeoServer workspaces, layers, and styles
  • Execute spatial queries on vector data
  • Generate map visualizations
  • Access OGC-compliant web services (WMS, WFS)
  • Easy integration with MCP-compatible clients
  • Supports Docker, pip, and development installations

Use cases of GeoServer MCP Server

  • Managing GeoServer workspaces, datastores, and layers via natural language
  • Running spatial queries and retrieving feature information
  • Generating and styling maps using GeoServer’s WMS/WFS services
  • Automating geospatial workflows with AI assistants in tools like Claude Desktop or Cursor

常见问题

1

What are the prerequisites for using GeoServer MCP Server?

Python 3.10 or higher, a running GeoServer instance with the REST API enabled, an MCP-compatible client (e.g., Claude Desktop or Cursor), and an internet connection for package installation.

2

How do I configure the GeoServer connection?

Set the environment variables `GEOSERVER_URL`, `GEOSERVER_USER`, and `GEOSERVER_PASSWORD`, or pass them as CLI arguments (`--url`, `--user`, `--password`). The default values are `http://localhost:8080/geoserver`, `admin`, and `geoserver`.

3

Can I run GeoServer MCP Server in Docker?

Yes. Pull the image with `docker pull mahdin75/geoserver-mcp` and run it with the required environment variables. Mount a host directory as a Docker volume when using the `--storage` flag for file operations.

4

How does file storage work with the `--storage` flag?

The `--storage` flag sets a base directory for all file read/write operations (e.g., uploading shapefiles or exporting results). Relative paths are resolved against this root; absolute paths are used as‑is. When running in Docker, ensure the directory is mounted as a volume.

5

Which MCP clients are supported?

GeoServer MCP Server works with any MCP-compatible client. The README provides configuration examples for Claude Desktop and Cursor.

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