Mcp Ocr

Name: Mcp Ocr
Author: rjn32s

@rjn32s

リポジトリ

Mcp Ocr について

概要はまだありません

#mcp-ocr #ocr #text-extraction

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

rjn32s

投稿者

Rajan shukla

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Mcp Ocr

What OCR engine does Mcp Ocr use?

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

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).

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).