A
securityF
licenseA
qualityAn MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.
Last updated -
1
24
Allows retrieving OCR results from handwritten documents as formatted Markdown text.
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
This server cannot be installed
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