AI-Kline MCP Server

Overview

AI看线 is an MCP‑enabled server that transforms raw A‑share market data into actionable insights for AI assistants. By exposing a suite of resources—historical price feeds, financial statements, news streams, and technical indicator calculations—it allows a large language model to query live market conditions, generate visualizations, and produce predictive narratives without leaving the conversational context. The server therefore removes the need for developers to build custom data pipelines, enabling rapid prototyping of AI‑powered trading tools.

The core value proposition lies in its end‑to‑end workflow. A user can simply request a stock analysis, and the server will:

• Fetch up‑to‑date trade data, balance sheets, and headline news via AKShare;
• Compute a range of technical indicators (MA, MACD, KDJ, RSI, Bollinger Bands) that are essential for quantitative analysis;
• Visualize the results as both static PNGs and interactive HTML charts, giving a clear graphical context;
• Apply multimodal AI (e.g., Qwen‑VL‑Max) to synthesize the numerical and textual inputs into a concise, human‑readable forecast.
  All of this is exposed through MCP endpoints, so any LLM that understands the protocol can invoke these capabilities in a single prompt.

Key features include:

• Real‑time data acquisition from a trusted Chinese market library (AKShare).
• Comprehensive technical analysis covering trend, momentum, volatility, and volume indicators.
• Multimodal AI inference, allowing the model to interpret charts and news together for richer predictions.
• Web UI that demonstrates the full pipeline, useful both for testing and for embedding into custom dashboards.
• MCP server integration, which means the service can be called from any LLM client that supports streamable‑http, making it trivial to add stock analysis to chatbots or virtual assistants.

Typical use cases span finance and research: a fintech startup can plug the server into its customer support bot to answer “What’s the outlook for 000001 in the next quarter?”; a portfolio manager can embed it into a decision‑making tool that surfaces both charts and textual summaries on demand; an academic researcher can iterate quickly on feature engineering by querying the MCP for new indicator combinations. Because the server handles data retrieval, processing, and AI inference in a single step, developers save significant time on infrastructure and focus instead on higher‑level business logic.

In short, AI看线 delivers a ready‑to‑use, MCP‑compatible stock analysis engine that bridges raw market data and multimodal AI insights. Its tight integration with LLM workflows, combined with a robust set of technical and visual outputs, makes it a standout solution for any developer looking to empower AI assistants with real‑world financial intelligence.