Handwriting OCR

by handwriting-ocr

3 stars

Not rated

GitHub

About

Integrates with Handwriting OCR API to extract and digitize text from handwritten documents in various image formats, enabling conversion of physical notes and manuscripts into editable text.

Details

Author: handwriting-ocr
Repository: Handwriting-OCR/handwriting-ocr-mcp-server
GitHub stars: 3
Categories: Productivity, Other, AI, Developer Tools, Design, Workplace, File Management, Media, Frontend, API

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Handwriting OCR

Command (node, npx, python, etc.) node
Arguments
- Argument 1 /Users/mateo/Local/Code/MCP/handwriting-ocr/build/index.js
Environment
- API_TOKEN your-api-token
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

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

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": []
        }
    }
}

`Upload Document`

Uploads an image or PDF document for OCR processing.

`Check Status`

Checks the processing status of the uploaded document.

`Get Text`

Retrieves the OCR result of the processed document as Markdown.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

Linux

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

Macos

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

Windows

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

A Model Context Protocol (MCP) Server forHandwriting OCR.

⭐ Recommended: use the hosted (remote) MCP server

You no longer need to run this local server. Handwriting OCR now offers ahosted MCP serveryou connect to directly —no Node.js install, no build step, and no copying an API token.

- Endpoint:https://mcp.handwritingocr.com
- Auth:OAuth — your MCP client opens a sign-in and consent page in your browser; there's no token to copy or store.
- More capabilities than this local server:submit documents, check status, retrieve results,export to Word / Excel / JSON, and useextractorsfor structured field extraction. It also ships a built-in usage guide so your assistant knows what the service does and how to get good results.

Add it to any client that supports remote MCP servers. For example, in Claude Desktop's config:

{ "mcpServers": { "handwriting-ocr": { "url": "https://mcp.handwritingocr.com" } } }

The exact way to add a remote server varies by client (some have a "Connectors" UI, some need"type": "http", and stdio-only clients can bridge via the mcp-remoteproxy). See your client's remote-MCP documentation.

The local server documented below still works and can be useful for self-hosted or offline setups, but the hosted server is easier and preferred.

The rest of this document covers running the local Node.js server, which talks to the Handwriting OCR APIusing an API token.

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.

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 Platformand an active API token.

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

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": [] } } }

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

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

Please refer to the Handwriting OCR API Documentation.

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

Model Context Protocol (MCP) Server for Handwriting OCR Platform

Agentic Document Parsing and Extraction (ADP)

ADP automatically classifies overseas invoices, domestic vouchers, procurement contracts, logistics documents, financial statements and trading contracts, and accurately extracts key fields. It also supports table parsing, content verification and multilingual recognition. Requiring no template setup, data labeling or ongoing rule maintenance, it efficiently handles high-volume document processing tasks.

AI-powered document extraction infrastructure. Convert PDFs, Excel files, and scanned documents into structured JSON.

A local MCP server implementing Retrieval-Augmented Generation (RAG) with sentence window retrieval and support for multiple file types.

MCP server for the Transkribus REST API — manage collections, documents, HTR/OCR recognition, models, and more. 290 tools across 22 resource domains.

Automated document processing and extraction

Transform your scattered documentation into AI-ready knowledge that works seamlessly with Claude, Cursor, VS Code, and other AI tools.

Autofill PDF is an MCP server that connects your Instafill.ai workspace to the Claude and ChatGPT MCP clients, allowing users to upload, search, and automatically fill PDF forms directly from chat.

Integrates with the Canvas Learning Management System (LMS), supporting FERPA-compliant anonymization and privacy controls.

Manipulate Excel files (XLSX, XLSM, etc.) without needing Microsoft Excel, featuring an integrated AI assistant.

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

Handwriting OCR

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

`Upload Document`

`Check Status`

`Get Text`

Claude Desktop / Cursor

Linux

Macos

Windows

⭐ Recommended: use the hosted (remote) MCP server

Agentic Document Parsing and Extraction (ADP)

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Upload Document

Check Status

Get Text

Claude Desktop / Cursor

Linux

Macos

Windows

⭐ Recommended: use the hosted (remote) MCP server

Agentic Document Parsing and Extraction (ADP)

Install

More like this

Sequential Thinking

Time

Filesystem

EverArt

Google Drive

Context 7

`Upload Document`

`Check Status`

`Get Text`