Weibo Hot Search MCP Server
@Yooki-K
About Weibo Hot Search MCP Server
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Overview
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
FAQ from Weibo Hot Search MCP Server
What data can I fetch from Weibo?
The server can return the hot search list (rankings, keywords, indices), detailed topic information (category, description, link, claim info, statistics), and comments (content and like count) from the first post or claim of a hot search entry.
What are the runtime requirements?
Python 3.10 or later, with dependencies: requests, lxml, and mcp>=1.0.0. A valid Weibo account and its associated cookie are required for authentication.
How do I authenticate with Weibo?
You must provide a valid Weibo cookie as the environment variable weibo_COOKIE. The cookie is obtained by logging into Weibo and extracting it from browser developer tools (F12).
Where is the data stored or processed?
All data is fetched live from Weibo when a request is made. The server does not persist any data locally; it acts as a real‑time proxy.
What transport and authentication does this server use?
The server communicates via stdio transport (MCP default). Authentication uses a static bearer‑style cookie, supplied as an environment variable at server startup.
Frequently asked questions
What data can I fetch from Weibo?
The server can return the hot search list (rankings, keywords, indices), detailed topic information (category, description, link, claim info, statistics), and comments (content and like count) from the first post or claim of a hot search entry.
What are the runtime requirements?
Python 3.10 or later, with dependencies: `requests`, `lxml`, and `mcp>=1.0.0`. A valid Weibo account and its associated cookie are required for authentication.
How do I authenticate with Weibo?
You must provide a valid Weibo cookie as the environment variable `weibo_COOKIE`. The cookie is obtained by logging into Weibo and extracting it from browser developer tools (F12).
Where is the data stored or processed?
All data is fetched live from Weibo when a request is made. The server does not persist any data locally; it acts as a real‑time proxy.
What transport and authentication does this server use?
The server communicates via stdio transport (MCP default). Authentication uses a static bearer‑style cookie, supplied as an environment variable at server startup.
Basic information
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