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Rephrasy

Rephrasy

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by rephrasyai
README.md
# Rephrasy MCP Server

[![npm](https://img.shields.io/npm/v/@rephrasy/mcp)](https://www.npmjs.com/package/@rephrasy/mcp)

Use [Rephrasy](https://rephrasy.ai) from Claude, Cursor, or any MCP client: humanize AI-generated text and images, and check AI-detection scores, without leaving your editor or agent workflow.

Four 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) |
| `humanize_image` | Humanizes a local or remote image and saves the result next to the original |
| `get_image_result` | Collects an image that was still processing (free) |

## Setup

**1. Get an API key** — sign in at [rephrasy.ai](https://rephrasy.ai) → Account → API. Both tools bill against your Rephrasy plan.

**2. Add the server to your client:**

### Claude Code

```bash
claude mcp add rephrasy -e REPHRASY_API_KEY=<your-key> -- npx -y @rephrasy/mcp
```

### Claude Desktop

Add to `claude_desktop_config.json` (Settings → Developer → Edit Config):

```json
{
  "mcpServers": {
    "rephrasy": {
      "command": "npx",
      "args": ["-y", "@rephrasy/mcp"],
      "env": { "REPHRASY_API_KEY": "<your-key>" }
    }
  }
}
```

### Cursor

Add to `.cursor/mcp.json` (project) or `~/.cursor/mcp.json` (global):

```json
{
  "mcpServers": {
    "rephrasy": {
      "command": "npx",
      "args": ["-y", "@rephrasy/mcp"],
      "env": { "REPHRASY_API_KEY": "<your-key>" }
    }
  }
}
```

> 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"]`.

### Hosted server (no install)

Rephrasy also runs a hosted MCP server, so clients that speak streamable HTTP need
nothing installed locally:

```bash
claude mcp add rephrasy https://v2-humanizer.rephrasy.ai/mcp -t http \
  -H "Authorization: Bearer <your-key>"
```

It supports OAuth as well — ChatGPT and other clients that require it discover it
from the server and send you through a one-time consent page, so the key never
reaches the client. The hosted server carries a wider tool set (engine
recommendations, readability, bring-your-own-key detectors). Full docs:
<https://rephrasy.ai/mcp>.

## Tools

### `humanize`

| Parameter | Type | Required | Description |
|---|---|---|---|
| `text` | string | yes | The text to humanize |
| `model` | string | no | Rephrasy model, default `"v4"` (recommended). See [Models](#models) |
| `language` | string | no | Output language hint (e.g. `"en"`, `"de"`); defaults to input language |

Returns the rewritten text plus the number of words charged.

#### Models

| `model` | When to use it |
|---|---|
| `v4` | **Default and recommended.** Natural rhythm and sentence variety, length close to the source. |
| `superstealth` | **Newest.** Built for the highest bypass rates, recommended against Pangram. Slower: 10–60 s per request. |
| `ft_clean-v3` | Highest meaning retention and near-identical length — technical writing and anything with figures. |
| `Undetectable Model` | Best against academic detectors. |
| `SEO Model` | Simple, informal phrasing built around keywords. |
| `<writing style id>` | Rewrites in one of your saved Writing Styles. |

`v3` and `Undetectable Model v2` are retired. Old calls keep working: the API routes `v3` to `superstealth` and `v2` to `v4`. The v3-only `style` parameter is gone.

### `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`.

### `humanize_image`

| Parameter | Type | Required | Description |
|---|---|---|---|
| `path` | string | one of | Local image file (PNG, JPEG or WEBP, max 4 MB) |
| `url` | string | one of | Or an http(s) link to the image |
| `quality` | string | no | `"standard"` (default, usually under a minute) or `"hq"` (about 4 minutes) |
| `output_path` | string | no | Where to save the result; defaults to `<name>-humanized.<ext>` next to the input |

A diffusion pass removes invisible AI watermarks such as SynthID while subject,
composition and resolution stay the same. Costs 10 credits on `standard` and 20
on `hq`; a failed image is refunded. Standard images are usually saved within the
call. If a job is still running, the tool returns a `job_id` instead.

### `get_image_result`

| Parameter | Type | Required | Description |
|---|---|---|---|
| `job_id` | string | yes | The `job_id` from `humanize_image` |
| `output_path` | string | no | Where to save the result |

Waits up to about 50 seconds per call and saves the image once it is done. Results
stay available for 72 hours and also show up in your image history on rephrasy.ai.

## Example prompts

- *"Humanize this paragraph, then run detect on the result to verify it."*
- *"Humanize this essay with superstealth so it passes Pangram."*
- *"Rewrite my draft with the humanize tool using model `<style-id>` (my writing style)."*
- *"Check which sentences of this post read as AI-written."*
- *"Humanize ~/Desktop/hero.png in hq and tell me where you saved it."*

## Development

```bash
npm install
npm run build
REPHRASY_API_KEY=<key> node dist/index.js   # runs on stdio
```

## License

MIT © Rephrasy

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

Humanize and detect have clearly distinct purposes: one modifies text to sound human, the other analyzes text for AI-likelihood. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tool names are single, lowercase verbs that directly describe their action (humanize, detect). The naming pattern is simple, consistent, and predictable.

Tool Count3/5

With only two tools, the set feels thin but is appropriately scoped for a niche server focused on AI text rewriting and detection. It is borderline but not egregiously under-populated.

Completeness5/5

The two tools cover the full intended workflow: rewrite text to human style and verify it with a detector. There are no obvious missing operations for the stated purpose.

Maintenance

ActivityMaintained
ResponsivenessSyncing