Docling MCP
local MCP serverDocling MCP is a local MCP server: Convert PDFs and other documents to structured formats via Docling, for AI applications. Install it from pypi as docling-mcp.
Installation
Terminal
claude mcp add docling-mcp -e DOCLING_MCP_CONVERSION_MODE=... -e DOCLING_MCP_SERVICE_URL=... -e DOCLING_MCP_SERVICE_API_KEY=... -e DOCLING_MCP_SERVICE_TIMEOUT=... -e DOCLING_MCP_SERVICE_MAX_RETRIES=... -e DOCLING_MCP_FALLBACK_TO_LOCAL=... -e DOCLING_MCP_KEEP_IMAGES=... -e DOCLING_MCP_IMAGES_SCALE=... -e DOCLING_MCP_DO_OCR=... -e DOCLING_MCP_DO_TABLE_STRUCTURE=... -e DOCLING_MCP_IMAGE_EXPORT_MODE=... -e DOCLING_MCP_CACHE_MAX_DOCUMENTS=... -- uvx docling-mcp
Run in your project folder. Add --scope user to use it everywhere.
Claude Desktop, Cursor & other clients
Add to claude_desktop_config.json or .cursor/mcp.json.
{
"mcpServers": {
"docling-mcp": {
"command": "uvx",
"args": [
"docling-mcp"
],
"env": {
"DOCLING_MCP_CONVERSION_MODE": "...",
"DOCLING_MCP_SERVICE_URL": "...",
"DOCLING_MCP_SERVICE_API_KEY": "...",
"DOCLING_MCP_SERVICE_TIMEOUT": "...",
"DOCLING_MCP_SERVICE_MAX_RETRIES": "...",
"DOCLING_MCP_FALLBACK_TO_LOCAL": "...",
"DOCLING_MCP_KEEP_IMAGES": "...",
"DOCLING_MCP_IMAGES_SCALE": "...",
"DOCLING_MCP_DO_OCR": "...",
"DOCLING_MCP_DO_TABLE_STRUCTURE": "...",
"DOCLING_MCP_IMAGE_EXPORT_MODE": "...",
"DOCLING_MCP_CACHE_MAX_DOCUMENTS": "..."
}
}
}
}Fill in the environment variables with your own credentials.
What you need
- Runtime: Python with uv (runs with uvx).
- MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
- Environment variables:
DOCLING_MCP_CONVERSION_MODE,DOCLING_MCP_SERVICE_URL,DOCLING_MCP_SERVICE_API_KEY,DOCLING_MCP_SERVICE_TIMEOUT,DOCLING_MCP_SERVICE_MAX_RETRIES,DOCLING_MCP_FALLBACK_TO_LOCAL,DOCLING_MCP_KEEP_IMAGES,DOCLING_MCP_IMAGES_SCALE,DOCLING_MCP_DO_OCR,DOCLING_MCP_DO_TABLE_STRUCTURE,DOCLING_MCP_IMAGE_EXPORT_MODE,DOCLING_MCP_CACHE_MAX_DOCUMENTS
Summary
Convert PDFs and other documents to structured formats via Docling, for AI applications.
Docling MCP vs similar servers
| Server | Stars | Type | API key | Runtime |
|---|---|---|---|---|
| Docling MCP | 759 | Local | Yes | pypi |
| ragie | 31 | Local | No | pypi |
| kirbah-mcp-youtube | 29 | Hosted | No | None |
| kaneo | 9,252 | Local | Yes | npm |
| Agent-Native Plan | 6,874 | Hosted | No | None |
Questions
It reads 12 environment variables: DOCLING_MCP_CONVERSION_MODE, DOCLING_MCP_SERVICE_URL, DOCLING_MCP_SERVICE_API_KEY, DOCLING_MCP_SERVICE_TIMEOUT, DOCLING_MCP_SERVICE_MAX_RETRIES, DOCLING_MCP_FALLBACK_TO_LOCAL, DOCLING_MCP_KEEP_IMAGES, DOCLING_MCP_IMAGES_SCALE, DOCLING_MCP_DO_OCR, DOCLING_MCP_DO_TABLE_STRUCTURE, DOCLING_MCP_IMAGE_EXPORT_MODE, DOCLING_MCP_CACHE_MAX_DOCUMENTS. Set them in your MCP config before starting the server.
Python with uv (runs with uvx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.
Docling MCP is a local MCP server distributed as the pypi package docling-mcp.
Run: claude mcp add docling-mcp -e DOCLING_MCP_CONVERSION_MODE=... -e DOCLING_MCP_SERVICE_URL=... -e DOCLING_MCP_SERVICE_API_KEY=... -e DOCLING_MCP_SERVICE_TIMEOUT=... -e DOCLING_MCP_SERVICE_MAX_RETRIES=... -e DOCLING_MCP_FALLBACK_TO_LOCAL=... -e DOCLING_MCP_KEEP_IMAGES=... -e DOCLING_MCP_IMAGES_SCALE=... -e DOCLING_MCP_DO_OCR=... -e DOCLING_MCP_DO_TABLE_STRUCTURE=... -e DOCLING_MCP_IMAGE_EXPORT_MODE=... -e DOCLING_MCP_CACHE_MAX_DOCUMENTS=... -- uvx docling-mcp
Run: codex mcp add docling-mcp --env DOCLING_MCP_CONVERSION_MODE=... --env DOCLING_MCP_SERVICE_URL=... --env DOCLING_MCP_SERVICE_API_KEY=... --env DOCLING_MCP_SERVICE_TIMEOUT=... --env DOCLING_MCP_SERVICE_MAX_RETRIES=... --env DOCLING_MCP_FALLBACK_TO_LOCAL=... --env DOCLING_MCP_KEEP_IMAGES=... --env DOCLING_MCP_IMAGES_SCALE=... --env DOCLING_MCP_DO_OCR=... --env DOCLING_MCP_DO_TABLE_STRUCTURE=... --env DOCLING_MCP_IMAGE_EXPORT_MODE=... --env DOCLING_MCP_CACHE_MAX_DOCUMENTS=... -- uvx docling-mcp
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