# mineru-mcp

> Use this tool when you need to parse and convert unstructured documents into Markdown format, solving problems of data extraction and text analysis from PDF, images, and Office documents. It takes in various document types and outputs parsed Markdown text, providing an interface for document parsing and retrieving previous results. Ideal for use cases requiring automated document processing and text extraction.

Canonical page: https://skillsregistry.net/skills/gength-mineru-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gength-mineru-mcp

## Description

MCP server for parsing PDF, images, and Office documents into Markdown using MinerU, with tools for document parsing and reading previous results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8l9zlkbgt)
- **Repository:** <https://github.com/Gength/mineru-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": "gength-mineru-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gength-mineru-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gength-mineru-mcp/pull`

---
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