weibo-mcp-server

# Weibo Hot Search MCP Server This is a Weibo hot search data acquisition server based on the Model Context Protocol (MCP) framework, providing functions to fetch Weibo hot search list, hot search details, and comments. ## Features 1. Get Weibo Hot Search List - Display hot search rankings - Show hot search keywords - Show hot search index 2. Get Hot Search Details - Topic category - Topic description - Topic link - Topic claim information - Statistics (reads, discussions, interactions, original posts) 3. Get Hot Search Comments - Support getting comments from the first Weibo post or claim's post through hot search link - Configurable maximum comment fetch count - Display comment content and like count ## Requirements - Python >=3.10 - Dependencies: - requests - lxml - mcp>=1.0.0 ## Installation ### Installation from sources 1. Clone the repository ```bash git clone https://github.com/Yooki-K/weibo-mcp-server.git ``` 2. Install dependencies: ```bash pip install -r requirements.txt ``` >Note: If using `uv run weibo_mcp_server`, dependencies will be installed automatically, no need for `pip install` ### Installation from Pypi ```bash pip install weibo-mcp-server ``` ## Configuration ### Get Weibo Cookie Create a [Weibo](https://www.weibo.com/) account, press F12 to open developer tools, and get the cookie as shown below:  ### Run Project Locally Add this tool to the MCP server #### Cursor On Windows: `C:/Users/YOUR_USER/.cursor/mcp.json` ```json { "mcpServers": { "weibo": { "command": "uv", "args": [ "--directory", "path/to/weibo-mcp-server", "run", "weibo_mcp_server" ], "env":{ "weibo_COOKIE": YOUR_WEIBO_COOKIE } } } } ``` #### Claude On Windows: `%APPDATA%/Claude/claude_desktop_config.json` ```json "weibo": { "command": "uv", "args": [ "--directory", "/path/to/weibo-mcp-server", "run", "weibo_mcp_server" ], "env": { "weibo_COOKIE": YOUR_WEIBO_COOKIE } } ``` ## License MIT License - see LICENSE file for details. ## Contributing 1. Fork the repository 2. Create your feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m 'Add some amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request