What is Weibo Hot Search MCP Server?
A Model Context Protocol (MCP) server that provides programmatic access to Weibo (Chinese microblogging platform) hot search data. It enables developers to fetch the current hot search rankings, detailed topic information, and user comments associated with hot search entries.
How to use Weibo Hot Search MCP Server?
Install from PyPI (pip install weibo-mcp-server) or from source by cloning the repository and installing dependencies. Configure a valid Weibo cookie as the weibo_COOKIE environment variable, then add the server to your MCP client (e.g., Cursor or Claude Desktop) using uv run weibo_mcp_server with the cookie set in the env field.
Key features of Weibo Hot Search MCP Server
- Retrieve real‑time Weibo hot search rankings with index scores
- Get detailed topic information including category, description, and link
- Fetch comments from the first Weibo post or claim for a given hot search link
- Configurable maximum number of comments to retrieve
- Display comment content and like counts
Use cases of Weibo Hot Search MCP Server
- Monitoring trending topics on Weibo for market or sentiment analysis
- Automating data collection for social media research or journalism
- Building chatbots or assistants that answer questions about current Weibo trends
- Integrating Weibo hot search data into dashboards or analytics pipelines
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