# Document Reader MCP Server

> Use this tool when you need to extract and process information from various document formats, such as Word, PDF, and text files, and require features like media element extraction and automatic text encoding detection. It solves problems related to document data extraction, media element retrieval, and text processing, making it ideal for tasks like data mining, content analysis, and document indexing. The tool accepts document files as input and outputs extracted data, including text, images, and links, with options for customizing output through features like PDF page range selection.

Canonical page: https://skillsregistry.net/skills/qitianfeng-document-reader-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qitianfeng-document-reader-mcp

## Description

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nfw3i9le52)
- **Repository:** <https://github.com/ohaha-1/document-reader-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": "qitianfeng-document-reader-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qitianfeng-document-reader-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qitianfeng-document-reader-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