@Wayfinder-Foundry
基本情報
About
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": {
"gdal-mcp": {
"command": "uvx",
"args": [
"--from",
"gdal-mcp",
"gdal",
"--transport",
"stdio"
],
"env": {
"GDAL_MCP_WORKSPACES": "/path/to/your/geospatial/data"
}
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Gdal Mcp is a Model Context Protocol server that gives AI agents geospatial analysis capabilities backed by GDAL, Rasterio, and PyProj. It requires AI agents to justify methodological choices—such as CRS selection or resampling—through a reflection middleware system, creating an auditable trail of epistemic reasoning. It is designed for developers and geospatial professionals who want reproducible, methodology-aware geospatial workflows with AI.
Install via uvx --from gdal-mcp gdal --transport stdio or run with Docker. Configure the server in your MCP client (e.g., Claude Desktop) by adding a gdal-mcp entry to mcpServers with the uvx command and setting the GDAL_MCP_WORKSPACES environment variable. The server exposes 12 tools: 4 raster tools (info, convert, reproject, stats) and 6 vector tools (info, reproject, convert, clip, buffer, simplify), plus reflection system tools.
It requires AI agents to justify methodological decisions (e.g., “why reproject to this CRS?”) before executing an operation, rather than silently acting. This prevents silent methodological errors like using nearest-neighbor resampling on continuous elevation data.
Python 3.11+ with Rasterio, PyProj, pyogrio, Shapely, and NumPy. It runs via uvx from PyPI or Docker. FastMCP 2.0 provides the MCP server framework.
Data must be placed in workspaces specified by the `GDAL_MCP_WORKSPACES` environment variable. The server enforces workspace isolation and path validation to prevent access outside those directories.
The server communicates over stdio (standard input/output). No authentication mechanism is described; workspace isolation acts as the security boundary.
The reflection system only triggers on a subset of tools (raster_reproject, vector_reproject). The cache is in-memory and is lost on server restart. Vector tools are new as of v1.1.1 and may have fewer features than raster tools.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
A search tool helps dev to solve the naming things problem.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
コメント