# Umi-OCR MCP Server

> Umi-OCR MCP Server — qinluza-umi-ocr-mcp. Use this tool when you need to extract text from images or PDFs automatically, and integrate Optical Character Recognition (OCR) capabilities into your AI workflows. It solves problems such as manual text extraction and batch processing by providing a server-based interface for image text extraction, batch OCR, and PDF OCR. The Umi-OCR MCP Server takes image or PDF inputs and returns extracted text outputs, making it ideal for use cases requiring automated document processing and data extraction.

Canonical page: https://skillsregistry.net/skills/qinluza-umi-ocr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qinluza-umi-ocr-mcp

## Description

Exposes local Umi-OCR v2 capabilities to AI agents via MCP, enabling image text extraction, batch OCR, PDF OCR, and status checks without manually starting the service.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilwzjpbr2h)
- **Repository:** <https://github.com/QinLuza/Umi-OCR-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": "qinluza-umi-ocr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qinluza-umi-ocr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qinluza-umi-ocr-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
