MCP BaoStock Server

The MCP BaoStock Server is a specialized data provider that exposes comprehensive Chinese stock market information through the Model Context Protocol. It bridges the gap between AI assistants and real‑time financial data by turning the Baostock API into a lightweight, self‑contained service. For developers building finance‑aware conversational agents or automated trading tools, this server removes the need to manage authentication, data fetching, and formatting—everything is handled by MCP endpoints that return JSON ready for consumption.

At its core, the server offers a suite of endpoints covering every major category of market data. Users can retrieve basic stock information (listing date, industry classification, corporate profile), historical K‑line data with customizable frequency and adjustment methods, and detailed industry classification tables that map companies to sectors. Beyond price data, the server provides dividend and distribution details, quarterly financial metrics split into profitability, operating efficiency, and growth, as well as index level data for benchmarks like the CSI 300. Finally, it exposes valuation metrics such as P/E and P/B ratios over time, allowing agents to track a company’s market sentiment.

Developers integrate the server by simply adding its MCP URL to their client configuration. Once connected, a Claude or other AI assistant can invoke any of the pre‑defined tools—each tool corresponds to a specific endpoint. For example, an assistant can ask for the latest earnings growth of a stock or request daily price bars for a given period, and the server will return structured data that can be parsed or visualized directly within the conversation. Because MCP handles request routing and response shaping, developers avoid boilerplate code for HTTP requests or data cleaning.

Real‑world scenarios that benefit from this server include:

• Financial chatbots that answer user queries about stock fundamentals or recent dividends.
• Quantitative research pipelines where AI agents pull quarterly financials to feed into predictive models.
• Portfolio management assistants that monitor index performance and trigger alerts when valuation metrics deviate from historical norms.
• Education tools that walk students through the process of retrieving and interpreting market data.

What sets the MCP BaoStock Server apart is its focus on Chinese equities—a market often underserved by generic data providers. By leveraging Baostock’s extensive coverage and wrapping it in MCP, the server delivers domain‑specific data with minimal latency. Its modular design also allows future expansion: new endpoints for alternative metrics or additional markets can be added without disrupting existing clients. For developers building AI solutions that need reliable, up‑to‑date stock information, this MCP server provides a turnkey, standards‑compliant gateway to one of the world’s largest equity markets.