Convert PDFs and other documents to structured formats via Docling, for AI applications.
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io.github.docling-project/docling-mcp is an MCP server that convert PDFs and other documents to structured formats via Docling, for AI applications. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 90/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"docling": {
"env": {
"DOCLING_MCP_SERVICE_URL": "https://your-docling-service.example.com",
"DOCLING_MCP_CONVERSION_MODE": "remote",
"DOCLING_MCP_SERVICE_API_KEY": "your-api-key-here"
},
"args": [
"--from=docling-mcp",
"docling-mcp-server"
],
"command": "uvx"
}
}
}Are you the author?
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Convert PDFs and other documents to structured formats via Docling, for AI applications.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
uvx 'docling-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
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A document processing service using the Docling-MCP library and MCP (Model Context Protocol) for tool integration.
Docling MCP is a service that provides tools for document conversion, processing and generation. It uses the Docling library to convert PDF documents into structured formats and provides a caching mechanism to improve performance. The service exposes functionality through a set of tools that can be called by client applications.
| docling-mcp | MCP Python SDK |
|---|---|
>=3.0.0 | mcp>=2.0.0 |
>=2.0.0,<3.0.0 | mcp>=1.9.4,<2.0.0 |
If your MCP client application has not yet migrated to MCP SDK v2, pin:
pip install "docling-mcp<3.0.0"
See MIGRATION.md for the full migration guide.
For users with access to Docling Serve API:
Getting Docling Serve: Visit docling-serve for installation guides. You can deploy it from published container images or look for managed Docling SaaS offerings.
pip install docling-mcp
Then configure your environment:
export DOCLING_MCP_SERVICE_URL=https://your-docling-service.example.com
export DOCLING_MCP_SERVICE_API_KEY=your-api-key-here
export DOCLING_MCP_CONVERSION_MODE=remote
For users who need local conversion or don't have Docling Serve access:
pip install docling-mcp[local]
Then configure your environment:
export DOCLING_MCP_CONVERSION_MODE=local
Install with local support and enable automatic fallback:
pip install docling-mcp[local]
Configure for remote with fallback:
export DOCLING_MCP_SERVICE_URL=https://your-docling-service.example.com
export DOCLIN
... [View full README on GitHub](https://github.com/docling-project/docling-mcp#readme)