Xiaohongshu API MCP Server | 小红书 API 微服务

Name: Xiaohongshu API MCP Server | 小红书 API 微服务
Author: proerror77

@proerror77

リポジトリ

Xiaohongshu API MCP Server | 小红书 API 微服务について

XHS MCP Agent - A MCP server implementation

基本情報

カテゴリ

AI とエージェント

ランタイム

python

トランスポート

stdio

公開者

proerror77

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "xhs_mcp_agent": {
      "command": "python",
      "args": [
        "xhs_api.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Xiaohongshu API MCP Server | 小红书 API 微服务?

Xiaohongshu API MCP Server is a microservice that wraps Xiaohongshu (Little Red Book) API into a RESTful API server, deployable via Docker. It is intended for developers who need programmatic access to Xiaohongshu data.

How to use Xiaohongshu API MCP Server | 小红书 API 微服务?

Build and start the Docker container with docker-compose up -d in the xhs_mcp_server directory, then access the service at http://localhost:8000. Alternatively, run directly with Python after installing dependencies from requirements.txt and executing python xhs_api.py. API documentation is available at /docs (Swagger) or /redoc.

Key features of Xiaohongshu API MCP Server | 小红书 API 微服务

RESTful API for Xiaohongshu operations
Multiple client instance support
Docker containerization for easy deployment
Endpoints for notes, users, search, feeds, and health check

Use cases of Xiaohongshu API MCP Server | 小红书 API 微服务

Fetching Xiaohongshu notes by ID for content analysis
Searching notes and users by keyword for market research
Retrieving user information and their posted notes
Browsing categorized recommendation feeds for trend monitoring

FAQ from Xiaohongshu API MCP Server | 小红书 API 微服务

What dependencies are required to run the server?

Docker and Docker Compose are required for containerized deployment. For direct Python running, dependencies are listed in requirements.txt.

How do I authenticate with the Xiaohongshu API?

Create a client instance by sending a POST request to /clients with a JSON body containing your Xiaohongshu cookie.

Are there any usage restrictions or data storage details mentioned?

The README states that the project is for educational purposes only (“仅用于教育目的”) and implies use at your own risk. No details about data storage or retention are provided.

What transports or authentication mechanisms are supported?

The server exposes HTTP REST endpoints. Authentication is handled via a cookie submitted when creating a client instance; no other transport (e.g., WebSocket) or auth methods (OAuth, tokens) are mentioned.

Are there known limits or rate limits?

No limits or rate limits are mentioned in the README.

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