Handwriting OCR MCP Server

By Handwriting-OCR GitHub

Model Context Protocol (MCP) Server for Handwriting OCR

Overview

what is Handwriting OCR MCP Server?

The Handwriting OCR MCP Server is a Model Context Protocol (MCP) server designed to facilitate integration with the Handwriting OCR API, allowing users to process handwritten documents through Optical Character Recognition (OCR).

how to use Handwriting OCR MCP Server?

To use the Handwriting OCR MCP Server, you need to install Node.js, set up your API token, and configure the server to upload images or PDF documents for OCR processing.

key features of Handwriting OCR MCP Server?

Upload images and PDF documents for OCR processing.
Check the status of your OCR requests.
Retrieve OCR results in Markdown format.

use cases of Handwriting OCR MCP Server?

Digitizing handwritten notes and documents.
Converting scanned handwritten forms into editable text.
Integrating OCR capabilities into applications for automated document processing.

FAQ from Handwriting OCR MCP Server?

What is required to run the Handwriting OCR MCP Server?

You need Node.js (version 18.x or higher) and an active account with an API token from the Handwriting OCR Platform.

Can I use the server for both images and PDFs?

Yes, the server supports both image and PDF uploads for OCR processing.

Where can I find support for the Handwriting OCR MCP Server?

Support can be found in the Handwriting OCR API Documentation or by submitting a GitHub Issue.

Content

Handwriting OCR MCP Server

A Model Context Protocol (MCP) Server for Handwriting OCR API.

Overview

The Handwriting OCR MCP Server enables integration between MCP clients and the Handwriting OCR service. This document outlines the setup process and provides a basic example of using the client.

This server allows you to upload images and PDF documents, check their status, and retrieve the OCR result as Markdown.

Tools

Transcription

Upload Document
Check Status
Get Text

Prerequisites

Before you begin, ensure you have the following:

Node.js installed on your system (recommended version 18.x or higher).
An active account on the Handwriting OCR Platform and an active API token.

Installation

Installing via Smithery

To install handwriting-ocr-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Handwriting-OCR/handwriting-ocr-mcp-server --client claude

Installing manually for Claude Desktop

To use the Handwriting OCR MCP Server in Claude Desktop application, use:

{
    "mcpServers": {
        "handwriting-ocr": {
            "command": "node",
            "args": [
                "/Users/mateo/Local/Code/MCP/handwriting-ocr/build/index.js"
            ],
            "env": {
                "API_TOKEN": "your-api-token",
            },
            "disabled": false,
            "autoApprove": []
        }
    }
}

Configuration

The Handwriting OCR MCP Server supports environment variables to be set for authentication and configuration:

API_TOKEN: Your API token.

You can find these values in the API settings dashboard on the Handwriting OCR Platform.

Support

Please refer to the Handwriting OCR API Documentation.

For support with the Handwriting OCR MCP Server, please submit a GitHub Issue.

About

Model Context Protocol (MCP) Server for Handwriting OCR Platform

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