Convert PDFs and other documents to structured formats via Docling, for AI applications.
Most monitoring and observability work still happens through a UI a human drives. Docling MCP MCP server moves it into the conversation instead. Convert PDFs and other documents to structured formats via Docling, for AI applications.
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.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The server publishes 8 tools. What each one is for:
Variable — DefaultDOCLING_MCP_LI_API_BASE — http://127.0.0.1:1234/v1DOCLING_MCP_LI_API_KEY — noneDOCLING_MCP_LI_MODEL_ID — ibm/granite-3.2-8bDOCLING_MCP_LI_EMBEDDING_MODEL — BAAI/bge-base-en-v1.5DOCLING_MCP_LLS_URL — http://localhost:8321DOCLING_MCP_LLS_VDB_EMBEDDING — all-MiniLM-L6-v2DOCLING_MCP_LLS_EXTRACTION_MODEL — openai/gpt-oss-20bConfiguration is passed through the environment: DOCLING_MCP_CONVERSION_MODE, DOCLING_MCP_SERVICE_URL, DOCLING_MCP_SERVICE_API_KEY, DOCLING_MCP_FALLBACK_TO_LOCAL, DOCLING_MCP_LI_API_KEY, DOCLING_MCP_LI_MODEL_ID, DOCLING_MCP_LLS_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of monitoring and observability servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Docling MCP's toolset — Variable, DOCLING_MCP_LI_API_BASE, DOCLING_MCP_LI_API_KEY and 5 more — is a fair guide to whether it matches your workflow. It is maintained by docling-project; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Variable | Default |
| DOCLING_MCP_LI_API_BASE | http://127.0.0.1:1234/v1 |
| DOCLING_MCP_LI_API_KEY | none |
| DOCLING_MCP_LI_MODEL_ID | ibm/granite-3.2-8b |
| DOCLING_MCP_LI_EMBEDDING_MODEL | BAAI/bge-base-en-v1.5 |
| DOCLING_MCP_LLS_URL | http://localhost:8321 |
| DOCLING_MCP_LLS_VDB_EMBEDDING | all-MiniLM-L6-v2 |
| DOCLING_MCP_LLS_EXTRACTION_MODEL | openai/gpt-oss-20b |
{
"mcpServers": {
"docling": {
"command": "uvx",
"args": [
"--from=docling-mcp",
"docling-mcp-server"
],
"env": {
"DOCLING_MCP_CONVERSION_MODE": "remote",
"DOCLING_MCP_SERVICE_URL": "https://your-docling-service.example.com",
"DOCLING_MCP_SERVICE_API_KEY": "your-api-key-here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DOCLING_MCP_CONVERSION_MODE | Configuration value read at startup. | Optional |
| DOCLING_MCP_SERVICE_URL | Endpoint or connection string the server talks to. | Yes |
| DOCLING_MCP_SERVICE_API_KEY | Credential the server authenticates with. | Yes |
| DOCLING_MCP_FALLBACK_TO_LOCAL | Configuration value read at startup. | Optional |
| DOCLING_MCP_LI_API_KEY | Credential the server authenticates with. | Yes |
| DOCLING_MCP_LI_MODEL_ID | Configuration value read at startup. | Optional |
| DOCLING_MCP_LLS_URL | Endpoint or connection string the server talks to. | Yes |
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