About UndetectedGPT
AI humanizer for MCP clients. Rewrites AI text so it reads naturally and sounds human.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://www.undetectedgpt.ai/api/mcpclaude mcp add --transport http ai-undetectedgpt-humanizer https://www.undetectedgpt.ai/api/mcp{"mcpServers":{"ai-undetectedgpt-humanizer":{"type":"http","url":"https://www.undetectedgpt.ai/api/mcp"}}}Open in Cursor{"servers":{"ai-undetectedgpt-humanizer":{"type":"http","url":"https://www.undetectedgpt.ai/api/mcp"}}}Open in VS Code{"mcpServers":{"ai-undetectedgpt-humanizer":{"type":"http","url":"https://www.undetectedgpt.ai/api/mcp"}}}{"mcpServers":{"ai-undetectedgpt-humanizer":{"serverUrl":"https://www.undetectedgpt.ai/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
2| Parameter | Type | Required | Description |
|---|---|---|---|
| text | string | Yes | The text to humanize. Minimum 5 words; maximum set by the API key (1000 words by default). |
| tone | enum | No | Writing tone. Omit, or use 'balanced' (equivalent), for the default style with no tone rewrite.academic | balanced | conversational | formal | creative |
| model | enum | No | Humanizer model. Defaults to ghost-2 (latest).ghost-2 | ghost-1 |
| markdown | boolean | No | Format the output as Markdown (headers, lists). Defaults to false: plain text. |
| spelling | enum | No | English spelling variant for the output. Defaults to us. English text only.us | uk | uk-oxford | ca | au |
| ultra_stealth | boolean | No | Stronger restructuring for maximum detector evasion. Ignored when tone is conversational, formal or creative. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.