Docling MCP for Cursor
io.github.docling-project/docling-mcp
Convert PDFs and other documents to structured formats via Docling, for AI applications.
client:Cursor
transport:stdio
runtime:pypi
Install Docling MCP in Cursor
~/.cursor/mcp.json · windows: %USERPROFILE%\.cursor\mcp.json
{
"mcpServers": {
"docling-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"docling-mcp"
],
"env": {
"DOCLING_MCP_CONVERSION_MODE": "<DOCLING_MCP_CONVERSION_MODE>",
"DOCLING_MCP_SERVICE_URL": "<DOCLING_MCP_SERVICE_URL>",
"DOCLING_MCP_SERVICE_API_KEY": "<DOCLING_MCP_SERVICE_API_KEY>",
"DOCLING_MCP_SERVICE_TIMEOUT": "<DOCLING_MCP_SERVICE_TIMEOUT>",
"DOCLING_MCP_SERVICE_MAX_RETRIES": "<DOCLING_MCP_SERVICE_MAX_RETRIES>",
"DOCLING_MCP_FALLBACK_TO_LOCAL": "<DOCLING_MCP_FALLBACK_TO_LOCAL>",
"DOCLING_MCP_KEEP_IMAGES": "<DOCLING_MCP_KEEP_IMAGES>",
"DOCLING_MCP_IMAGES_SCALE": "<DOCLING_MCP_IMAGES_SCALE>",
"DOCLING_MCP_DO_OCR": "<DOCLING_MCP_DO_OCR>",
"DOCLING_MCP_DO_TABLE_STRUCTURE": "<DOCLING_MCP_DO_TABLE_STRUCTURE>",
"DOCLING_MCP_IMAGE_EXPORT_MODE": "<DOCLING_MCP_IMAGE_EXPORT_MODE>",
"DOCLING_MCP_CACHE_MAX_DOCUMENTS": "<DOCLING_MCP_CACHE_MAX_DOCUMENTS>"
}
}
}
}
Use .cursor/mcp.json in a project root instead to scope it to that project. Cursor merges both. Cursor docs