Rephrasy

io.github.rephrasyai由 GitHub 帳號 rephrasyai 發布v0.1.0更新於 Oct 24, 2026

Humanize AI text and check AI-detection scores from Claude, Cursor, or any MCP client.

概覽

AI 產生的概覽

讓助理把 AI 生成的文字改寫得更像真人撰寫,並評估文字被判定為 AI 撰寫的可能性。

可以做什麼
此伺服器提供兩個工具。humanize 工具在保留原意的情況下,把 AI 生成的文字改寫成自然、像真人撰寫的風格,並回傳改寫後的文字與計費字數。detect 工具評估文字被判定為 AI 撰寫的可能性,回傳整體分數,並可選擇回傳逐句分數。兩個工具都透過 Rephrasy API,在 Claude、Cursor 等 MCP 用戶端中呼叫。
適用情境
適合需要讓文字讀起來像真人撰寫的起草或編輯情境,也適合在發布前檢查草稿的 AI 檢測分數。它適合在編輯器或代理工作流程中,把改寫與驗證放在同一次工作階段完成。
執行需求
需要本機 Node.js 執行環境,以 stdio 方式執行 npm 套件 @rephrasy/mcp;還需要透過環境變數 REPHRASY_API_KEY 提供 Rephrasy API 金鑰,金鑰來自 Rephrasy 帳戶(Account 下的 API)。需要能連線至 Rephrasy 服務的網路。
安裝前請注意
REPHRASY_API_KEY 金鑰會寫入用戶端設定,應避免放入共用檔案。兩個工具都會依你的 Rephrasy 方案計費,humanize 會回傳計費字數,因此使用會產生費用。提交給工具的文字會傳送到 Rephrasy 服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Rephrasy,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Rephrasy MCP Server

[npm]

Use Rephrasy 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:

ToolWhat it does
humanizeRewrites AI-generated text in a natural, human style while preserving meaning
detectScores how likely a text is to be flagged as AI-written (overall + optional per-sentence)
humanize_imageHumanizes a local or remote image and saves the result next to the original
get_image_resultCollects an image that was still processing (free)

Setup

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:

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

ParameterTypeRequiredDescription
textstringyesThe text to humanize
modelstringnoRephrasy model, default "v4" (recommended). See Models
languagestringnoOutput language hint (e.g. "en", "de"); defaults to input language

Returns the rewritten text plus the number of words charged.

Models
modelWhen to use it
v4Default and recommended. Natural rhythm and sentence variety, length close to the source.
superstealthNewest. Built for the highest bypass rates, recommended against Pangram. Slower: 10–60 s per request.
ft_clean-v3Highest meaning retention and near-identical length — technical writing and anything with figures.
Undetectable ModelBest against academic detectors.
SEO ModelSimple, 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

ParameterTypeRequiredDescription
textstringyesThe text to score (max 15,000 characters)
per_sentencebooleannoIf true, also returns a score per sentence

Returns JSON with scores.overall (lower = more human-like) and, in per-sentence mode, sentences.

humanize_image

ParameterTypeRequiredDescription
pathstringone ofLocal image file (PNG, JPEG or WEBP, max 4 MB)
urlstringone ofOr an http(s) link to the image
qualitystringno"standard" (default, usually under a minute) or "hq" (about 4 minutes)
output_pathstringnoWhere 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

ParameterTypeRequiredDescription
job_idstringyesThe job_id from humanize_image
output_pathstringnoWhere 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 installnpm run buildREPHRASY_API_KEY=<key> node dist/index.js   # runs on stdio

License

MIT © Rephrasy

來源:README.md,提交 579032c

工具

0
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版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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