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MCP Ocr

@rjn32s

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

rjn32s

提交者

Rajan shukla

关于 MCP Ocr

暂无概览

#mcp-ocr#ocr#text-extraction

MCP Ocr 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-ocr": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "mcp-ocr"
      ]
    }
  }
}

MCP Ocr 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Mcp Ocr?

Mcp Ocr is a production-grade OCR server built using the Model Context Protocol (MCP) that extracts text from images via Tesseract OCR. It is intended for developers who need OCR capabilities integrated into MCP-compatible tools like Claude for Desktop.

How to use Mcp Ocr?

Install with pip install mcp-ocr or uv pip install mcp-ocr, then start the server with python -m mcp_ocr. To use with Claude for Desktop, add an entry named "ocr" in the mcpServers section of the configuration file, specifying the same command. The server exposes two tools: perform_ocr (for extracting text from files, URLs, or raw bytes) and get_supported_languages (to list available OCR languages).

Key features of Mcp Ocr

  • Extracts text from images using Tesseract OCR
  • Supports local files, image URLs, and raw bytes
  • Automatic Tesseract installation on macOS, Linux, and Windows
  • Multi-language OCR support
  • Production-ready error handling

Use cases of Mcp Ocr

  • Extract text from scanned documents or screenshots
  • Read text from images hosted on the web
  • Integrate OCR into MCP-based automation workflows
  • Retrieve supported languages for multilingual image processing

常见问题

1

What OCR engine does Mcp Ocr use?

It uses Tesseract OCR, an open-source optical character recognition engine.

2

On which platforms is Tesseract installed automatically?

Automatic installation is supported on macOS (via Homebrew), Linux (via apt, dnf, or pacman), and Windows (with manual installation instructions provided).

3

Can I specify the OCR language?

Yes, Mcp Ocr supports multiple languages. Use the `get_supported_languages` tool to list available languages, and pass the desired language code to `perform_ocr` (though the README does not explicitly show the parameter, the feature is stated).

4

How do I pass raw image bytes to the OCR tool?

Call `perform_ocr` with the bytes object as the argument; the server handles extraction from raw bytes.

5

What runtime dependencies are required?

Python and Tesseract OCR. The server is installed via pip or uv and runs as an MCP server over stdio (no authentication mentioned).

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