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XHS Image MCP

将文章/文本转换为小红书风格图片卡片的 MCP Server,支持 AI 生成封面图。

功能

  • 智能分页 - 使用浏览器实际测量自动分页,确保内容不溢出

  • 4种主题 - minimal / elegant / warm / dark

  • 3种比例 - 3:4 (推荐) / 1:1 / 4:3

  • AI 封面 - 使用 Gemini 根据文章内容生成艺术封面(设置 API Key 后自动启用)

  • Markdown 支持 - 直接读取 .md 文件并自动清理格式

  • MCP 协议 - 可与 Claude Desktop / Claude Code 集成

Related MCP server: Xiaohongshu (RedBook) MCP Server

v1.1.0 更新

  • ✨ 智能 AI 封面 - 设置 GEMINI_API_KEY 后自动生成 AI 封面,无需手动开启

  • 🔧 自动分页优化 - 使用浏览器实际测量替代字数估算,彻底解决内容溢出问题

  • 📐 AI 封面空间适配 - 第一页自动为 AI 封面横幅预留空间

小红书尺寸

比例

尺寸

说明

3:4

1080×1440px

推荐,占据最大屏幕空间

1:1

1080×1080px

方形,适合产品展示

4:3

1080×810px

横版,适合风景照

安装

npm install -g xhs-image-mcp
npx playwright install chromium

或从源码安装:

git clone https://github.com/dthinkr/xhs-image-mcp.git
cd xhs-image-mcp
npm install
npx playwright install chromium
npm run build

使用

MCP Server 配置

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "xhs-image": {
      "command": "npx",
      "args": ["-y", "xhs-image-mcp"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Claude Code (~/.claude/settings.json):

{
  "mcpServers": {
    "xhs-image": {
      "command": "npx",
      "args": ["-y", "xhs-image-mcp"]
    }
  }
}

测试

npm test

MCP Tools

text_to_images

将文本转换为图片序列。

参数

类型

必填

说明

text

string

Yes

文本内容

title

string

标题(用于封面)

theme

string

minimal / elegant / warm / dark

ratio

string

3:4 / 1:1 / 4:3

fontSize

string

small / medium / large

showCover

boolean

是否生成封面页

generateAiCover

boolean

使用 AI 生成封面图(设置 API Key 后默认开启,传 false 可禁用)

outputDir

string

输出目录,图片保存为 PNG

file_to_images

将 Markdown/文本文件转换为图片。

参数

类型

必填

说明

filePath

string

Yes

文件路径 (.md/.txt)

title

string

覆盖自动提取的标题

theme

string

主题

generateAiCover

boolean

AI 封面(设置 API Key 后默认开启,传 false 可禁用)

outputDir

string

输出目录

estimate_pages

估算页数(不生成图片)。

list_themes

列出所有可用主题。

主题

主题

风格

适用场景

minimal

白底黑字,简约

知识干货、教程

elegant

米白衬线,书卷气

小说、散文、诗歌

warm

暖色渐变,卡片式

情感生活、分享

dark

深色护眼

夜间阅读、科技

环境变量

变量

说明

GEMINI_API_KEY

Google Gemini API Key,用于 AI 封面生成(设置后自动启用 AI 封面)

获取 API Key: https://aistudio.google.com/app/apikey

License

MIT

Available Tools

4 tools
estimate_pagesA

Estimate how many pages the text will be split into without generating images

Inputs: text (required), ratio, fontSize, charsPerPage.

file_to_imagesA

Convert a local markdown or text file to a series of images. Supports .md, .txt, .text files. Automatically extracts title from the first # heading in markdown files. Cleans up markdown formatting for cleaner text display.

Inputs: filePath (required), ratio, theme, title, +5 more.

list_themesA

List all available themes with descriptions

Inputs: no named parameters.

text_to_imagesB

Convert text content to a series of images with Xiaohongshu (小红书) style themes.

Supported themes:

  • minimal: Clean white background, good for knowledge/tips content

  • elegant: Warm beige with serif font, good for novels/essays

  • warm: Warm gradient with card style, good for lifestyle/emotional content

  • dark: Dark mode, eye-friendly for night reading

Image ratios:

  • 3:4 (1080x1440): Best for Xiaohongshu feed, takes most screen space

  • 1:1 (1080x1080): Square format

  • 4:3 (1080x810): Landscape format

Inputs: text (required), ratio, theme, title, +5 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    TDQS

    A3.9/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: estimating page count, listing themes, converting text to images, and converting files to images. There is no overlap in functionality, making selection unambiguous.

    Naming Consistency4/5

    Most tool names follow a descriptive pattern with underscores, but there is a mix of verb_noun (estimate_pages, list_themes) and noun_to_noun (text_to_images, file_to_images). This is a minor deviation from a fully consistent naming convention.

    Tool Count5/5

    With just 4 tools, the set is well-scoped for its purpose. Each tool is essential and contributes to the workflow without redundancy or bloat.

    Completeness5/5

    The tool set covers the full conversion lifecycle: estimating output size, selecting themes, and converting from two input methods (text and file). No critical operations are missing for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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