Humanizer MCP server

GPTHuman MCP Server

A Model Context Protocol (MCP) server providing access to GPTHuman's API, the leading platform for rewriting AI-generated text into more natural, human-sounding prose, with AI-detector metadata returned when available. This allows any MCP-compatible client (Cursor, Claude Desktop, etc.) to call the humanizer tool natively.

The server is shipped as a single humanize_text tool that rewrites AI-generated text into a more natural, human-sounding variant, while preserving the requested tone and rewrite mode.

Quick Start

You can run the server directly and test it in 60 seconds:

export GPTHUMAN_API_KEY=...
npx -y @gpthuman/mcp-server

To test the server interactively with the MCP Inspector before wiring it up to Cursor or Claude:

npx @modelcontextprotocol/inspector npx -y @gpthuman/mcp-server

Requirements

• Node.js >= 22.0.0
• A GPTHuman API key — get one at GPTHuman.ai

Configuration

The server reads a single environment variable:

Installation

Cursor

Add the server to ~/.cursor/mcp.json (or your workspace .cursor/mcp.json):

{
  "mcpServers": {
    "gpthuman": {
      "command": "npx",
      "args": ["-y", "@gpthuman/mcp-server"],
      "env": {
        "GPTHUMAN_API_KEY": "your-api-key-here"
      }
    }
  }
}

Security Note: While the example above places the GPTHUMANAPIKEY directly in JSON, we recommend using environment variables or local secret storage when possible. Never commit .cursor/mcp.json with real API keys to version control.

Claude Desktop

Add it to claudedesktopconfig.json:

{
  "mcpServers": {
    "gpthuman": {
      "command": "npx",
      "args": ["-y", "@gpthuman/mcp-server"],
      "env": {
        "GPTHUMAN_API_KEY": "your-api-key-here"
      }
    }
  }
}

Other clients

Any MCP client that supports the stdio transport can run the server with:

GPTHUMAN_API_KEY=your-api-key-here npx -y @gpthuman/mcp-server

Tools

humanize_text

Transforms AI-generated text into a more natural, human-sounding variant designed to bypass AI detectors, while preserving the requested tone and rewrite mode.

Input parameters

Output

The tool returns two content blocks:

Shortened. The full README is on GitHub.