Weibo MCP Server

Overview

The Weibo MCP Server is a lightweight, TypeScript‑based bridge that enables AI assistants to query the Chinese microblogging platform Weibo directly from their internal workflows. By exposing a set of well‑structured tools, it removes the need for developers to build custom web scrapers or navigate Weibo’s official APIs. Instead, AI agents can invoke high‑level commands such as or , receiving clean JSON payloads that are immediately usable in downstream processing.

This server solves the practical challenge of integrating real‑time social media data into conversational agents. Without such a bridge, developers would need to handle authentication, pagination, and rate limits manually—a tedious task that detracts from the core AI experience. The Weibo MCP Server abstracts these complexities, providing a declarative interface that aligns with the Model Context Protocol’s expectations for resources, tools, and prompts. The result is a more reliable, maintainable, and secure integration that can be deployed behind an existing MCP host.

Key capabilities include:

• User discovery through , returning concise profiles for quick filtering.
• Profile retrieval with to access demographics, follower counts, and activity metrics.
• Content aggregation via , enabling agents to pull a user’s latest posts for trend analysis or sentiment scoring.
• Trending insights with , exposing the current hot search list for market research or event monitoring.
• Keyword‑driven content search using , allowing deep dives into specific topics or campaigns.

These tools are designed for developers who already use MCP‑compatible assistants. The server plugs into any existing MCP host by adding a simple configuration entry, after which the assistant can call tools as if they were native functions. This tight integration eliminates round‑trip latency and reduces the cognitive load on developers, who no longer need to manage separate API keys or OAuth flows.

Real‑world use cases abound. A marketing team can let an AI assistant surface the latest influencer posts about a product, while a news aggregator might pull trending hashtags to surface breaking stories. Researchers can track the evolution of public sentiment by periodically invoking on key phrases, and social media analysts can generate dashboards that automatically refresh with the newest feed data. The server’s straightforward API also makes it an excellent teaching tool for students learning about social media analytics, data pipelines, or AI‑driven content curation.

In summary, the Weibo MCP Server transforms raw Weibo data into a first‑class AI companion resource. Its concise toolset, TypeScript implementation, and seamless MCP integration provide developers with a powerful, secure, and developer‑friendly pathway to harness the vast conversational content on Weibo without wrestling with low‑level details.