Weibo Hot Search MCP Server
Description
# 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…
About
# 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 -…
Details
- Author
- Yooki-K
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- 254
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- 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
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.
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 repositorygit clone https://github.com/Yooki-K/weibo-mcp-server.git
2. Install dependencies:
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
pip install weibo-mcp-server
Configuration
Get Weibo Cookie
Create a Weibo account, press F12 to open developer tools, and get the cookie as shown below:
Run Project Locally
Add this tool to the MCP serverCursor
On Windows:C:/Users/YOUR_USER/.cursor/mcp.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
"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 RequestSign in to leave a review
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