GeoServer MCP Server

Name: GeoServer MCP Server
Author: mahdin75

@mahdin75

リポジトリ

GeoServer MCP Server について

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

#geoserver #mcp #ai-assistant

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

mahdin75

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.