A Model Context Protocol server to enable integration between MCP clients and the Handwriting OCR service.
Handwriting ocr mcp server lets Claude, Cursor and other MCP clients work with Handwriting Ocr directly. A Model Context Protocol server to enable integration between MCP clients and the Handwriting OCR service.
A Model Context Protocol (MCP) Server for Handwriting OCR.
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.
Once connected, the assistant can call this tool directly:
Transcription — The Transcription tool exposed by this serverThe server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply one environment variable: API_TOKEN. Keep credentials in your client's env block or a secrets manager rather than committing them.
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.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Handwriting Ocr sits in that group, and the shape of its toolset — Transcription — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Transcription | The Transcription tool exposed by this server. |
{
"mcpServers": {
"handwriting-ocr": {
"url": "https://mcp.handwritingocr.com"
}
}
}Configuration as documented by the project. Restart the client after saving.
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.
| Variable | Description | Required |
|---|---|---|
| API_TOKEN | Credential the server authenticates with. | Yes |
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