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GeoServer MCP Server

@mahdin75

关于 GeoServer MCP Server

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

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

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 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

FAQ from GeoServer MCP Server

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.

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.

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.

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.

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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