# Document Reading and Converter Tool

> Use this tool when you need to convert and read complex documents in various formats, such as PDF, DOCX, and Markdown, to facilitate editing and analysis in AI tools. It solves problems of file compatibility and readability, providing structured text outputs for easier management and context understanding. The tool takes in documents in multiple formats and outputs converted files, making it ideal for use cases where file type limitations hinder AI tool functionality.

Canonical page: https://skillsregistry.net/skills/mffrydman-doc-reading-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mffrydman-doc-reading-mcp

## Description

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x9docndms4)
- **Repository:** <https://github.com/mffrydman/doc-reading-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": "mffrydman-doc-reading-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mffrydman-doc-reading-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mffrydman-doc-reading-mcp/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