What prerequisites are needed to run the server?
Node.js version 18.x or higher and an active account on the Handwriting OCR Platform with a valid API token.
@Handwriting-OCR
基本情報
Model Context Protocol (MCP) Server for Handwriting OCR
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": {
"handwriting-ocr-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@Handwriting-OCR/handwriting-ocr-mcp-server",
"--client",
"claude"
]
}
}
}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。
A Model Context Protocol (MCP) server that integrates with the Handwriting OCR API. It enables MCP clients like Claude Desktop to upload images and PDF documents, check their processing status, and retrieve the OCR result as Markdown.
Install via Smithery (npx -y @smithery/cli install @Handwriting-OCR/handwriting-ocr-mcp-server --client claude) or configure manually in Claude Desktop with the node command, the path to the server’s built index.js, and an API_TOKEN environment variable. After setup, use the provided tools – Upload Document, Check Status, and Get Text – to submit documents and fetch transcriptions.
Node.js version 18.x or higher and an active account on the Handwriting OCR Platform with a valid API token.
Log into the Handwriting OCR Platform and navigate to the API settings dashboard to generate a token.
Images and PDF documents can be uploaded for OCR processing. The result is returned as Markdown.
Add an `mcpServers` entry with `"command": "node"`, the path to the server’s `build/index.js`, and the environment variable `API_TOKEN` set to your token.
The README explicitly provides configuration steps for Claude Desktop, but the server follows the Model Context Protocol and may be used with any MCP client that supports stdio transport.
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