HumanTone
Official MCP server for HumanTone, enabling AI text humanization and AI likelihood detection directly from MCP clients like Claude Desktop and Cursor.
What is HumanTone?
HumanTone is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to official mcp server for humantone, enabling ai text humanization and ai likelihood detection directly from mcp clients like claude desktop and cursor.
Official MCP server for HumanTone, enabling AI text humanization and AI likelihood detection directly from MCP clients like Claude Desktop and Cursor.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Official MCP server for HumanTone, enabling AI text humaniza
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx humantoneConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about HumanTone
What is HumanTone?
HumanTone is a Model Context Protocol (MCP) server that official mcp server for humantone, enabling ai text humanization and ai likelihood detection directly from mcp clients like claude desktop and cursor. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install HumanTone?
Follow the installation instructions on the HumanTone GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with HumanTone?
HumanTone works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is HumanTone free to use?
Yes, HumanTone is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up HumanTone in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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