# Docling

> Use this tool when you need to convert documents to Markdown format, solving problems of incompatible file types and tedious manual formatting in content management systems, documentation projects, and AI-assisted text analysis workflows. It takes various document formats as input and outputs standardized Markdown text, streamlining document processing tasks. Ideal for use cases requiring efficient and universal text format conversion, Docling provides a specialized interface for document parsing and conversion.

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

## Description

This MCP server, developed by Deep Shah, leverages IBM's Docling software to parse and convert documents to Markdown format. Built with Python and integrating the MCP and Docling libraries, it provides a streamlined interface for document processing tasks. The implementation focuses on Markdown conversion, offering a specialized tool for transforming various document formats into a universal, easily readable text format. It's particularly useful for content management systems, documentation projects, and AI-assisted text analysis workflows that benefit from standardized Markdown input, enabling efficient document parsing and conversion without complex setup or multiple tool integrations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/deep-shah-docling)
- **Repository:** <https://github.com/deep070203/docling-mcp>

## 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": "deep-shah-docling"
    }
  }
}
```

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