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Handwriting OCR MCP Server

by MCP-Mirror

The Handwriting OCR MCP Server enables integration between MCP clients and the Handwriting OCR service. It allows you to upload images and PDF documents, check their status, and retrieve the OCR result as Markdown.

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What is Handwriting OCR MCP Server?

The Handwriting OCR MCP Server is a Model Context Protocol (MCP) server that facilitates communication between MCP clients and the Handwriting OCR API. It provides a standardized way to interact with the Handwriting OCR service for tasks like uploading documents, checking processing status, and retrieving transcribed text.

How to use Handwriting OCR MCP Server?

To use the server, you need Node.js installed and an active account with an API token from the Handwriting OCR Platform. You can install it via Smithery or manually configure it for Claude Desktop. The server requires the API_TOKEN environment variable to be set for authentication.

Key features of Handwriting OCR MCP Server

  • Upload Document

  • Check Status

  • Get Text as Markdown

  • Integration with Handwriting OCR API

  • MCP Compliant

  • Configuration via Environment Variables

Use cases of Handwriting OCR MCP Server

  • Integrating Handwriting OCR into Claude Desktop

  • Automated document processing workflows

  • Converting handwritten notes to digital text

  • Extracting text from scanned documents

  • Enabling OCR functionality in MCP-compatible applications

FAQ from Handwriting OCR MCP Server

What is the Handwriting OCR Platform?

The Handwriting OCR Platform is a service that provides handwriting recognition capabilities.

What is an API token?

An API token is a unique key that authenticates your requests to the Handwriting OCR API.

Where can I find my API token?

You can find your API token in the API settings dashboard on the Handwriting OCR Platform.

What is Smithery?

Smithery is a tool that simplifies the installation and management of MCP servers.

Where can I find the Handwriting OCR API Documentation?

You can find the Handwriting OCR API Documentation at https://www.handwritingocr.com/api/docs.