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MCP Mistral OCR

@everaldo

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

everaldo

MCP Mistral OCR について

Model Context Protocol (MCP) Server for Mistral OCR API

MCP Mistral OCR 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": {
    "mcp-mistral-ocr": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@everaldo/mcp/mistral-crosswalk",
        "--client",
        "claude"
      ]
    }
  }
}

MCP Mistral OCR 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 MCP Mistral OCR?

MCP Mistral OCR is an MCP server that provides OCR capabilities using Mistral AI's OCR API. It can process both local files and URLs, supporting images and PDFs.

How to use MCP Mistral OCR?

Install via Smithery (npx -y @smithery/cli install @everaldo/mcp/mistral-crosswalk --client claude), Docker, or local development with UV. Set the MISTRAL_API_KEY and OCR_DIR environment variables. Use the process_local_file or process_url_file tools to extract text from files.

Key features of MCP Mistral OCR

  • Process local files (images and PDFs) using Mistral's OCR
  • Process files from URLs with explicit file type specification
  • Support for JPG, PNG, PDF, and other formats
  • Results saved as JSON files with timestamps
  • Available as Docker container
  • Uses UV package management

Use cases of MCP Mistral OCR

  • Extract text from scanned documents stored locally
  • Transcribe text from images hosted on the web
  • Automate OCR processing in Claude Desktop workflows
  • Batch processing of PDF files under 50MB and 1000 pages

よくある質問

1

What file types does MCP Mistral OCR support?

It supports images (JPG, JPEG, PNG, GIF, WebP) and PDF documents.

2

What are the file size and page limits?

Files must be under 50MB and documents under 1000 pages, as enforced by the Mistral API.

3

How do I provide my Mistral API key?

Set the `MISTRAL_API_KEY` environment variable when running the server, either in Docker or in your local environment.

4

Where are OCR results saved?

Results are saved as JSON files in the `output` directory inside the configured `OCR_DIR` path.

5

Can I use MCP Mistral OCR without Docker?

Yes, you can install it locally using UV and the `uv pip install .` command, then run it as an MCP server.

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