The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Rephrasy listing page.
Use Rephrasy from Claude, Cursor, or any MCP client: humanize AI-generated text and check AI-detection scores without leaving your editor or agent workflow.
Two tools, one API key:
| Tool | What it does |
|---|---|
humanize | Rewrites AI-generated text in a natural, human style while preserving meaning |
detect | Scores how likely a text is to be flagged as AI-written (overall + optional per-sentence) |
1. Get an API key — sign in at rephrasy.ai → Account → API. Both tools bill against your Rephrasy plan.
2. Add the server to your client:
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
Until the package is on npm you can run it straight from GitHub: replace
"args": ["-y", "@rephrasy/mcp"]with"args": ["-y", "github:rephrasyai/rephrasy-mcp"].
humanize| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | yes | The text to humanize |
model | string | no | Rephrasy model, default "v3" |
style | string | no | Writing-style ID from your account to mimic a specific voice |
language | string | no | Output language hint (e.g. "en", "de"); defaults to input language |
Returns the rewritten text plus the number of words charged.
detect| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | yes | The text to score (max 15,000 characters) |
per_sentence | boolean | no | If true, also returns a score per sentence |
Returns JSON with scores.overall (lower = more human-like) and, in per-sentence mode, sentences.
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