Handwriting OCR MCP Server: Accurate, Fast for Enterprise Docs

Revolutionize handwritten data capture with MCP Server's OCR tech – accurate, fast, and enterprise-ready for messy docs & complex workflows.

Visit Repository

✨ Research And Data

4.8(194 reviews)

291 saves

135 comments

74% of users reported increased productivity after just one week

About Handwriting OCR MCP Server

What is Handwriting OCR MCP Server: Accurate, Fast for Enterprise Docs?

The Handwriting OCR MCP Server serves as a bridge between Model Context Protocol (MCP) clients and the Handwriting OCR service. It enables seamless integration to process handwritten documents at scale, ensuring precise transcription and rapid turnaround for enterprise-grade workflows. This server supports uploading images and PDFs, tracking job statuses, and delivering results in structured Markdown format.

How to use Handwriting OCR MCP Server: Accurate, Fast for Enterprise Docs?

To start, ensure Node.js (v18+) is installed and obtain an API token from your account dashboard. Installation can be automated via Smithery with:

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

For manual setup in Claude Desktop, configure the server path and API token in your application’s settings JSON:

{
        "mcpServers": {
            "handwriting-ocr": {
                "command": "node",
                "args": ["/path/to/index.js"],
                "env": {"API_TOKEN": "your_token_here"},
                "disabled": false
            }
        }
    }

Handwriting OCR MCP Server Features

Key Features of Handwriting OCR MCP Server: Accurate, Fast for Enterprise Docs?

Multi-format support: Process scanned images and PDFs containing handwritten text with high accuracy.
Real-time tracking: Check document status via API endpoints for workflow automation.
Markdown output: Retrieve processed text in cleanly formatted Markdown for easy integration.
Secure authentication: Leverage environment variables to store API tokens securely.
Enterprise scalability: Optimized for bulk processing demands of large organizations.

Use cases of Handwriting OCR MCP Server: Accurate, Fast for Enterprise Docs?

Common applications include:

Automating invoice processing from handwritten receipts
Digitizing handwritten notes in research institutions
Extracting data from legacy paper-based forms
Validating handwritten signatures in legal documents

Handwriting OCR MCP Server FAQ

FAQ: Handwriting OCR MCP Server for Enterprise

Q: How do I get an API token?
Log into your Handwriting OCR account and navigate to the API credentials section.

Q: What file types are supported?
JPEG, PNG, TIFF images and PDF documents up to 50MB in size.

Q: Where can I report issues?
Contact support via GitHub Issues or our dedicated enterprise portal.

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

Related MCP Servers & Clients

MCP Categories

Research And Data