Akshare One MCP Server

Overview

The Akshare One MCP Server is a specialized bridge that exposes the rich data ecosystem of akshare-one to AI assistants through the Model Context Protocol. It solves a common pain point for developers building finance‑centric conversational agents: accessing up‑to‑date Chinese stock market information without having to write custom scrapers or maintain separate APIs. By providing a single, well‑documented interface, the server lets an assistant query market data, news, and financial statements with a simple function call, freeing developers to focus on higher‑level logic such as strategy recommendation or portfolio analysis.

The server offers a comprehensive suite of tools that mirror the capabilities of akshare-one. These include:

• Historical and real‑time market data (, ) with fine‑grained control over time intervals, data sources, and adjustment methods.
• News retrieval () for sentiment analysis or event‑driven trading strategies.
• Financial statement extraction (, , ) that returns structured data ready for ratio calculations or machine‑learning feature engineering.
• Insider trading and key metrics (, ) to surface governance signals or liquidity indicators.
• Utility functions such as that provide consistent time stamps and trading day information.

These capabilities are delivered through a set of well‑defined parameters, enabling developers to tailor requests precisely—specifying symbol codes, date ranges, technical indicators, or the number of recent records. The server’s design prioritizes reliability and speed; data is fetched from reputable sources like Eastmoney, Sina, and Xueqiu, with fallback options to ensure continuity.

Use Cases

• Quantitative research pipelines: An assistant can pull historical price series, calculate moving averages or volatility metrics, and return a concise summary to the user.
• Real‑time trading assistants: By invoking , a bot can provide instant price quotes, support automated alerts, or trigger execution logic.
• Fundamental analysis bots: Financial statements and metrics are fetched on demand, enabling the assistant to generate valuation reports or compare peer groups.
• News‑driven sentiment engines: feeds into natural language processing modules that gauge market mood or identify emerging risks.
• Compliance and governance tools: Insider trading data can be surfaced to flag potential conflicts or regulatory concerns.

Integration with AI Workflows

The MCP server fits seamlessly into existing AI assistant architectures. A developer can register the server’s URL in the agent’s configuration, then invoke any of the exposed tools as part of a conversation flow. The assistant can interpret user intent, map it to the appropriate tool, and return structured results in natural language or as JSON for downstream processing. Because MCP handles request routing, authentication, and response formatting, developers need not implement these plumbing details themselves.

Unique Advantages

• Single source of truth for Chinese market data: Consolidates multiple external providers into one coherent API, reducing maintenance overhead.
• Rich parameterization: Users can fine‑tune queries (e.g., interval multipliers, adjustment types) without writing additional code.
• Built‑in technical indicators: The tool accepts a list of indicators, allowing instant calculation of RSI, MACD, or Bollinger Bands.
• Consistent time handling: guarantees ISO timestamps and trading‑day awareness, critical for synchronizing data streams.

By abstracting the complexities of data retrieval and standardizing responses, the Akshare One MCP Server empowers developers to build sophisticated, finance‑aware AI assistants with minimal friction.