China Ecosystem

Bridging AI Agents to the Chinese Internet. Search Baidu, explore Bilibili, extract Chinese web content — no API keys required.

A Model Context Protocol (MCP) server that connects AI agents (Claude Desktop, Cursor, Hermes Agent, etc.) to China's internet ecosystem.

Tools

Tool	Description
baidu_search_tool	Search Baidu — China's #1 search engine. Returns titles, URLs, and snippets in Chinese.
bilibili_search_tool	Search Bilibili — China's largest video platform. Returns videos with creator, views, danmaku, likes. Supports sorting by relevance, popularity, date, or danmaku count.
extract_chinese_page_tool	Extract clean text content from Chinese websites (Zhihu, Bilibili, 36Kr, CSDN, Jianshu, etc.). Strips ads and navigation noise.

Quick Start

pip install mcp-china-ecosystem

Or from source:

git clone https://github.com/543366565/mcp-china-ecosystem.git
cd mcp-china-ecosystem
pip install -e .

Run

# stdio mode (for Claude Desktop, Cursor, Hermes)
mcp-china-ecosystem

# SSE mode (remote access)
mcp-china-ecosystem --transport sse --host 0.0.0.0 --port 8000

Configure Claude Desktop

Edit claude_desktop_config.json:

{
  "mcpServers": {
    "china-ecosystem": {
      "command": "mcp-china-ecosystem"
    }
  }
}

Features

• Zero API keys — All services use public interfaces (Bilibili open API, Baidu web scraping)
• Chinese-optimized — Built for Chinese-language content and Chinese website structures
• Lightweight — Single dependency (parsel + httpx), no heavy frameworks
• Fast — Async HTTPX for concurrent requests

Why This Matters

AI agents are great at searching the global web, but China's internet is a walled garden. Baidu, Bilibili, Zhihu, and other Chinese platforms are inaccessible to most MCP tools. This server fills that gap — giving AI agents direct access to the Chinese internet.

License

MIT