Transform AI-generated text into natural, human-sounding content that bypasses AI detectors.
Transform AI-generated text into natural, human-sounding content that bypasses AI detectors.
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.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Similarity | 85% |
| Readability | College-level |
| text | string |
| tone | enum |
| mode | enum |
| humanize_text |
{
"mcpServers": {
"gpthuman": {
"command": "npx",
"args": [
"-y",
"@gpthuman/mcp-server"
],
"env": {
"GPTHUMAN_API_KEY": "YOUR_GPTHUMAN_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
>= 22.0.0 - A GPTHuman API key — get one at GPTHuman.ai| Variable | Description | Required |
|---|---|---|
| GPTHUMAN_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
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