EasyOCR MCP tool

Name: EasyOCR MCP tool
Author: WindoC

@WindoC

リポジトリ

EasyOCR MCP tool について

A Model Context Protocol (MCP) server that provides OCR capabilities using the EasyOCR library.

#ocr #gpu

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

WindoC

投稿者

Antonio Cheong

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": {
    "easyocr-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/project/easyocr-mcp",
        "run",
        "easyocr-mcp.py"
      ],
      "env": {
        "EASYOCR_LANGUAGES": "en,ch_tra,ja"
      }
    }
  }
}

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 EasyOCR MCP Server?

A Model Context Protocol (MCP) server that provides OCR capabilities using the open-source EasyOCR library. It allows AI agents to extract text from images (base64, files, or URLs) with support for over 80 languages.

How to use EasyOCR MCP Server?

Install dependencies with uv sync (optionally install PyTorch with GPU support). Configure language selection via the EASYOCR_LANGUAGES environment variable in your MCP client’s config.json. Run the server with uv run easyocr-mcp.py or mcp run easyocr-mcp.py, then invoke tools: ocr_image_base64, ocr_image_file, or ocr_image_url.

Key features of EasyOCR MCP Server

3 OCR Tools: base64, file, or URL input
Multi-language Support: 80+ languages with dynamic selection
Flexible Output: text-only or detailed results with coordinates and confidence
Performance Optimized: reader caching for better performance
Native EasyOCR Output: returns EasyOCR's original format

Use cases of EasyOCR MCP Server

Extracting text from scanned documents or photos
Reading text from images in multiple languages
Automating OCR from image URLs during web scraping
Processing base64-encoded images in chat or API workflows

FAQ from EasyOCR MCP Server

How do I select which languages to recognize?

Set the EASYOCR_LANGUAGES environment variable to a comma-separated list of language codes (e.g., en,ch_sim,ja). Default is English.

What output formats are available?

Set the detail parameter to 0 for text-only results (list of strings) or 1 for full details (list of tuples containing bounding box coordinates, text, and confidence score).

Does the server require a GPU?

GPU usage is determined at installation time based on your PyTorch installation. Install PyTorch with CUDA support to enable GPU acceleration; otherwise the server runs on CPU.

How do I process an image from a URL?

Use the ocr_image_url tool. The server will fetch the image from the URL and perform OCR automatically.

What are the threshold parameters for paragraph detection?

width_ths and height_ths control how close bounding boxes must be to be merged into a paragraph (default 0.7). The paragraph parameter enables paragraph detection (default false).

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