LongPort MCP is a powerful MCP server implementation designed to connect AI models with LongPort OpenAPI, unlocking real-time stock market data and AI-driven trading capabilities. It empowers AI to securely access financial data and execute trades through the standardized MCP protocol. Key features include functionalities for creating, modifying, and canceling orders, accessing real-time quotes and historical market data, and monitoring account assets, positions, and funds. By integrating LongPort MCP, developers can enable AI models to make informed trading decisions and automate investment strategies. The solution can be deployed as a command-line application, integrated with platforms like Cursor and Cherry Studio, or run as an SSE server, offering flexible deployment options. This seamless integration streamlines the development of AI-powered financial applications.

Real-time Market Data via MCP

LongPort MCP provides AI models with access to real-time stock market data through the standardized MCP protocol. This functionality allows AI algorithms to receive up-to-the-second updates on stock prices, trading volumes, and other critical market indicators. By leveraging MCP, the integration process is simplified, eliminating the need for complex API integrations. This ensures that AI models have a consistent and secure channel for accessing financial data. For example, an AI-powered trading bot can use this real-time data to make informed decisions about when to buy or sell stocks, reacting instantly to market fluctuations. The data stream includes essential information such as bid and ask prices, last traded price, and volume, enabling comprehensive market analysis. This feature is crucial for AI applications requiring timely and accurate financial data.

AI-Driven Trading Capabilities

This feature enables AI models to execute trades directly through the LongPort OpenAPI via the MCP server. It supports the creation, modification, and cancellation of orders, allowing AI algorithms to automate trading strategies based on real-time market analysis. Developers can leverage this functionality to build sophisticated trading bots that can react to market conditions without human intervention. For instance, an AI model could be programmed to automatically buy a stock when it reaches a certain price point or sell it when it hits a predefined profit target. The system also provides functionalities to query daily and historical order and transaction details, which is essential for auditing and performance analysis of AI trading strategies. This direct trading capability empowers AI models to actively participate in the market, optimizing investment strategies and maximizing returns.

Portfolio Monitoring and Management

LongPort MCP offers real-time access to account assets, holdings, and funds, enabling AI models to monitor and manage investment portfolios effectively. This feature allows AI algorithms to track the performance of a portfolio, identify potential risks, and make data-driven decisions to optimize asset allocation. For example, an AI-powered portfolio manager can use this information to rebalance a portfolio based on market conditions and investment goals. The real-time nature of the data ensures that AI models have an accurate view of the portfolio's current state, allowing for timely adjustments and risk mitigation. This functionality is critical for AI applications focused on wealth management, investment advisory, and automated portfolio optimization.

Integration Advantages

LongPort MCP's design emphasizes ease of integration within the MCP ecosystem. The provided instructions for integrating with platforms like Cursor and Cherry Studio demonstrate its commitment to interoperability. By supporting standard input/output (STDIO) and SSE (Server-Sent Events) as transport mechanisms, LongPort MCP offers flexibility in deployment and integration. The use of environment variables for configuration (e.g., LONGPORT_APP_KEY, LONGPORT_APP_SECRET, LONGPORT_ACCESS_TOKEN) simplifies the setup process and enhances security. Furthermore, the option to enable logging via the --log-dir flag provides valuable insights for debugging and monitoring the MCP server's performance. This focus on integration ensures that developers can quickly and easily incorporate LongPort MCP into their AI-driven financial applications.