What is the Weibo Hot Search MCP Server?

The Weibo Hot Search MCP Server is a service that allows AI models to access and utilize real-time trending topics from Weibo, a popular Chinese social media platform. It leverages the Model Context Protocol (MCP) to provide contextual information to AI applications.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

How do I install the Weibo Hot Search MCP Server?

You can install the server using pip from GitHub, source code, or a local build. The recommended method for Claude users is to install it directly to Claude Desktop using the fastmcp install weibo_hotsearch_mcp.py command.

Do I need a Weibo account or API key to use this service?

No, the service utilizes Weibo’s mobile API and does not require a Weibo account or API key.

Can I use this service with the Roo Code VS Code plugin?

Yes, the service is compatible with the Roo Code VS Code plugin. You can configure it by adding the provided JSON configuration to the mcp_settings.json file.

How can I use this service in Claude?

In Claude, you can use the service by simply asking for the current Weibo hot search list. For example: “请获取当前微博热搜榜的内容，并分析一下热门话题的类别分布。”

Is the service open-source?

Yes, the service is released under the MIT License, allowing you to modify and extend it as needed.

What are the benefits of using UBOS with this MCP Server?

UBOS is a full-stack AI Agent development platform that allows you to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems. Using UBOS you can enhance contextual awareness and real-time capabilities of AI Agents, making them more effective and insightful.

Can I contribute to the development of this MCP Server?

Yes, you can contribute by cloning the repository, making changes, and submitting pull requests.