GDAL
Verified IntegrationClient Configuration
— Connect GDAL to Claude Desktop or Cursor in seconds{
"mcpServers": {
"gdal": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gdal"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Empowers AI agents to conduct GDAL-style geospatial analysis, offering catalog discovery, metadata intelligence, and raster/vector processing via Python-native libraries and natural language interaction.
7/23/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for GDAL
GDAL MCP provides five core tools: `raster_info`, `raster_convert`, `raster_reproject`, `raster_stats` for raster data, and `vector_info` for vector data. It also offers resource discovery and metadata intelligence.
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