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TwinWrite

xiaofenshen-mcp-server

by TwinWrite
README.md
<p align="center">
  <a href="https://xiaofenshen.com">
    <img
      src="https://xiaofenshen.com/brand/xiaofenshen.svg"
      alt="小分身 TwinWrite Logo"
      width="128"
      height="128"
    />
  </a>
</p>

<h1 align="center">小分身 TwinWrite</h1>

<p align="center">
  <strong>官方网站:<a href="https://xiaofenshen.com">https://xiaofenshen.com</a></strong><br />
  训练一个会越来越像你的写手分身。5 分钟,长出一个跟你写得一样的人。
</p>

<p align="center">
  <a href="https://xiaofenshen.com">官网</a>
  ·
  <a href="https://xiaofenshen.com/intro">产品介绍</a>
  ·
  <a href="https://xiaofenshen.com/docs">帮助文档</a>
  ·
  <a href="https://xiaofenshen.com/llms.txt">llms.txt</a>
</p>

# 小分身公开 MCP

这是 [小分身](https://xiaofenshen.com)(TwinWrite)的公开 MCP 仓库,把已经免登录的只读接口转成 MCP 工具,给 Cursor、Claude Desktop 等外部 Agent 使用。

## 小分身是什么

[小分身](https://xiaofenshen.com) 是一个通过对话、长期记忆和「造梦」持续进化的个人 AI 创作分身。官网:[xiaofenshen.com](https://xiaofenshen.com)。

你通过对话与训练告诉它你的语气、句式与偏好,它再用你的口吻帮你写下一篇。你可以创建多个分身,各自专注不同的创作场景;随着对话、记忆与反馈不断积累,它对你的理解会越来越深,输出也越来越像你本人。

常见用法是模仿你的风格写公众号、小红书等自媒体内容:在对话里粘贴代表作或直接训练,让分身学你的表达,再把 AI 写出来的稿子改得不像 AI、更像你本人。

本仓库是公开的薄客户端:只保存工具契约和 HTTP 转发。业务数据与实现都在小分身线上服务([xiaofenshen.com](https://xiaofenshen.com)),这里不复制抓取、计费或分身逻辑。

## 当前开放

| 工具 | 上游 |
| --- | --- |
| `read_public_share` | `GET /api/share/:token` |
| `list_image_prompt_templates` | `GET /api/image-prompt-templates` |
| `get_product_docs` | `GET /llms.txt`、`GET /docs/<slug>.md` |

这三条产品侧本来就不挂登录。MCP 不新增鉴权,也不扩大可读范围。

## 明确不做(本版本)

热点、网页/微信抓取、分身对话、记忆、生图、公众号搜号等,都要用户身份或付费凭据。后续会走**用户 token 授权**,再在小分身加稳定 API,本仓库只增加对应工具名和转发,不把实现搬过来。

## 使用

需要 Node 22+。

```bash
pnpm install
pnpm test
pnpm build
```

Cursor `mcp.json` 示例:

```json
{
  "mcpServers": {
    "xiaofenshen": {
      "command": "npx",
      "args": ["-y", "github:TwinWrite/xiaofenshen-mcp-server"]
    }
  }
}
```

| 环境变量 | 默认 |
| --- | --- |
| `XIAOFENSHEN_WEB_ORIGIN` | `https://xiaofenshen.com` |
| `XIAOFENSHEN_API_BASE_URL` | `https://api.xiaofenshen.com` |

## 相关链接

- 官网:https://xiaofenshen.com
- 产品介绍:https://xiaofenshen.com/intro
- 帮助文档:https://xiaofenshen.com/docs
- 给模型看的站点索引:https://xiaofenshen.com/llms.txt

TDQS

A4.5/5.0

Scored across 3 tools

Disambiguation5/5

Each tool serves a completely distinct purpose: reading public shares, listing image prompt templates, and fetching product docs. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case: read_public_share, list_image_prompt_templates, get_product_docs. The naming is predictable and uniform.

Tool Count5/5

With only 3 tools, the server is tightly scoped for its read-only informational purpose. Each tool earns its place and covers a distinct resource, fitting comfortably within the ideal range.

Completeness5/5

The server covers the three main public-facing resource types (shares, templates, docs) with read operations. No obvious gaps exist for the stated read-only domain, as operations align with the server's purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues