ai-humanizer
A powerful Model Context Protocol (MCP) server that helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.
claude mcp add --transport stdio text2go-ai-humanizer-mcp-server npx -y ai-humanizer-mcp-server
How to use
The AI Humanize MCP Server is designed to refine AI-generated text to sound more natural and human-like while preserving meaning, terminology, and key phrases. It includes AI detection to identify AI-generated content, then applies language enhancements to improve readability, grammar, and tone. This server integrates with Claude Desktop via MCP by exposing a simple command entry point that Claude can execute to process text through the AI-humanizer workflow. Use it to sanitize robotic-sounding output, adjust length, and ensure terminology remains consistent across your documents.
To use, configure the MCP entry in Claude Desktop (or your MCP-compatible client) with the ai-humanizer server using the provided npx command. Then send text to the server for processing. The server will analyze the input, detect AI-generated characteristics, and apply enhancements such as natural phrasing, improved readability, and grammar corrections. You can leverage the built-in length control to adjust content length while preserving meaning and the term preservation feature to keep industry terms intact.
How to install
Prerequisites:
- Node.js version 16 or higher
- Claude Desktop (latest version) installed
Installation by using npx (recommended):
- Ensure Claude Desktop is installed and open.
- In Claude Desktop, go to Settings → Developer → Edit Config.
- Add the following MCP server configuration:
{
"mcpServers": {
"ai-humanizer": {
"command": "npx",
"args": ["-y", "ai-humanizer-mcp-server"]
}
}
}
- Restart Claude Desktop to apply changes.
Alternatively, if you prefer running from source:
- Clone the repository.
- Install dependencies:
npm install
- Build the project:
npm run build
- Configure Claude Desktop with the built server path:
{
"mcpServers": {
"ai-humanizer": {
"command": "node",
"args": ["<YOUR_PROJECT_PATH>/build/index.js"]
}
}
}
- Restart Claude Desktop to apply changes.
Additional notes
Tips and considerations:
- TheMCP server is designed to work with text transformation workflows; ensure you pass plain text inputs for best results.
- If you encounter any issues with npx resolution, verify your Node.js installation and network access.
- You can adjust configuration via Claude Desktop settings; the server name in config is ai-humanizer.
- This server preserves key terminology; if you require stricter term control, consider adding a glossary or term rules in your workflow.
- The tool includes AI detection capabilities to flag AI-generated text; use this to decide when to apply enhancements.
Related MCP Servers
zen
Selfhosted notes app. Single golang binary, notes stored as markdown within SQLite, full-text search, very low resource usage
MCP -Deepseek_R1
A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
mcp-fhir
A Model Context Protocol implementation for FHIR
mcp
Inkdrop Model Context Protocol Server
mcp-appium-gestures
This is a Model Context Protocol (MCP) server providing resources and tools for Appium mobile gestures using Actions API..
dubco -npm
The (Unofficial) dubco-mcp-server enables AI assistants to manage Dub.co short links via the Model Context Protocol. It provides three MCP tools: create_link for generating new short URLs, update_link for modifying existing links, and delete_link for removing short links.