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RapidOCR MCP Server

@z4none

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

z4none

RapidOCR MCP Server について

A MCP server based on RapidOCR, providing an easy-to-use OCR interface.

RapidOCR MCP Server の設定

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": {
    "rapidocr-mcp": {
      "command": "uvx",
      "args": [
        "run",
        "rapidocr-mcp"
      ]
    }
  }
}

RapidOCR MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is RapidOCR MCP Server?

A MCP (Model Context Protocol) server based on RapidOCR that provides an easy-to-use OCR (Optical Character Recognition) interface. It allows large language models to extract text from images by exposing two OCR methods.

How to use RapidOCR MCP Server?

Run the server with uvx run rapidocr-mcp. Configure it in your MCP client using the provided JSON block with command: "uvx" and args: ["rapidocr-mcp"]. No additional environment variables are needed.

Key features of RapidOCR MCP Server

  • Exposes two OCR methods: ocr_by_content and ocr_by_path.
  • Accepts base64-encoded image data or a local file path.
  • Returns a list of TextContent objects with recognized text.
  • Easy setup via uvx with no extra configuration.
  • Designed to integrate seamlessly with MCP-compatible clients.

Use cases of RapidOCR MCP Server

  • Extract text from an image file stored on the local filesystem.
  • Extract text from in-memory image data (base64) passed by an LLM.
  • Enable LLMs to read text from scanned documents or screenshots without multimodal vision.

よくある質問

1

What methods does RapidOCR MCP Server provide?

It provides `ocr_by_content` (for base64-encoded image data) and `ocr_by_path` (for an image file path). Both return a list of recognized text.

2

How do I install or run RapidOCR MCP Server?

Run `uvx run rapidocr-mcp` in your terminal. No separate installation step is required—uvx handles it.

3

Why use this server when modern LLMs already have multimodal capabilities?

The README notes that large language models are becoming increasingly powerful and generally possess multimodal abilities, but this server offers a dedicated OCR interface for cases where you prefer a separate, focused tool.

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