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GIS MCP Server

@mahdin75

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基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

mahdin75

GIS MCP Server について

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 の設定

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

GIS MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 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

よくある質問

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.

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