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Handwriting OCR MCP Server

@Handwriting-OCR

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Handwriting-OCR

关于 Handwriting OCR MCP Server

Model Context Protocol (MCP) Server for Handwriting OCR

#handwriting-ocr#ocr-server#text-conversion

Handwriting OCR MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "handwriting-ocr-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@Handwriting-OCR/handwriting-ocr-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Handwriting OCR MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Handwriting OCR MCP Server?

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.

How to use Handwriting OCR MCP Server?

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.

Features of Handwriting OCR MCP Server

  • Upload images and PDF documents for transcription
  • Check the processing status of submitted documents
  • Retrieve OCR results as Markdown text
  • Requires only an API token for authentication
  • Compatible with Node.js 18.x or higher

Use cases of Handwriting OCR MCP Server

  • Digitize handwritten notes or forms in a Claude Desktop workflow
  • Extract text from scanned PDF documents for further processing
  • Automate transcription of handwritten content from images

常见问题

1

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.

2

How do I obtain an API token?

Log into the Handwriting OCR Platform and navigate to the API settings dashboard to generate a token.

3

Which document formats are supported?

Images and PDF documents can be uploaded for OCR processing. The result is returned as Markdown.

4

How is the server configured for Claude Desktop?

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.

5

Does this server work with MCP clients other than Claude Desktop?

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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