# Docling

> Use this tool when you need to process and analyze documents in various formats, convert them to markdown, or extract tables and images. It solves problems related to document conversion, data extraction, and natural language processing, and accepts document files as input, producing markdown text, extracted data, and images as output. Ideal for use cases involving AI-driven document analysis and interaction, such as data mining, information retrieval, and text summarization.

Canonical page: https://skillsregistry.net/skills/zanetworker-docling  
JSON: https://api.skillsregistry.net/v1/skills/zanetworker-docling

## Description

This MCP server implementation provides document processing capabilities using the Docling library. It offers tools for converting documents to markdown format, extracting tables, and handling embedded images, with support for OCR and batch processing. Developed by Red Hat GmbH, it features caching for improved performance and configurable acceleration options. The server is designed for use cases requiring AI assistants to interact with and analyze various document formats, enabling natural language processing of structured and unstructured data.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zanetworker-docling)
- **Repository:** <https://github.com/zanetworker/mcp-docling>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zanetworker-docling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zanetworker-docling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zanetworker-docling/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt