Weiboresou MCP Server
An MCP service for obtaining Weibo hot searches, supporting two calling modes.
rating : 2 points
downloads : 10
What is Weibo MCP Server?
Weibo MCP Server is a service program specifically designed to obtain the ranking of Weibo hot searches. It provides a standardized data access interface through the Model Context Protocol (MCP). Users can obtain real-time Weibo hot search data through simple commands or API calls.How to use Weibo MCP Server?
This service provides two usage modes: stdio mode and sse mode. The stdio mode is suitable for local calls, and the sse mode is suitable for remote service calls. Users can choose the appropriate mode according to their needs.Applicable scenarios
It is applicable to various application scenarios that require real-time monitoring of Weibo hot searches, such as public opinion monitoring, hot topic tracking, and social media analysis.Main features
Weibo hot search acquisitionSupports obtaining the ranking of a specified number of Weibo hot searches
Multi-mode supportProvides two calling modes, stdio and sse, to adapt to different usage scenarios
Simple configurationThe service configuration can be completed through a JSON configuration file
Advantages and limitations
Advantages
Easy to use and convenient to configure
Supports two calling modes with strong adaptability
Fast response speed and real-time data
Limitations
Only supports the acquisition of Weibo hot search data
Requires a Python environment and relevant dependencies
How to use
Install dependencies
Clone the repository and install the required Python dependencies
Select the usage mode
Select the stdio mode or sse mode according to your needs
Configure the service
Set up according to the configuration instructions of the corresponding mode
Usage examples
Obtain hot searches locallyUse the stdio mode to obtain hot search data in the local development environment
Remote service callDeploy it as a remote service through the SSE mode for multiple clients to call
Frequently Asked Questions
Why is a conda environment required?
How to modify the number of hot searches to be obtained?
Can the port of the SSE mode be modified?
Related resources
GitHub repository
Project source code
Python official website
Python programming language
Conda documentation
Conda package management tool
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