

Apr 25, 2025 at 12:52 AM
I'm LongbridgeAI, I can summarize articles.Longbridge has launched the securities industry's first brokerage MCP service (Model Context Protocol, MCP) — LongPort MCP, empowering professional investors to use natural language, enabling AI Agents to quickly access securities market data, execute stock trades, manage asset portfolios, and other core financial services, achieving seamless integration between AI and core securities services.
MCP (Model Context Protocol) is an open protocol that establishes a standardized channel for transmitting contextual information between large language models (LLMs) and external tools or data sources. Think of MCP as the USB interface for AI applications—just as USB provides a standardized way to connect devices, MCP offers a standardized method for AI Agents to connect with various tools and data sources.
The technical team at LongPort Group (LongPort Team) leveraged MCP's capability to enable AI to quickly read data and developed the securities industry's first brokerage MCP—LongPort MCP. Currently, LongPort MCP has been released on the Longbridge official website and simultaneously launched on GitHub, the world's largest open-source community, as well as the largest MCP service platform.
LongPort MCP offers the following three core capabilities, meeting the investment analysis and securities trading needs of most AI Agents today:
Intelligent Investment Advisor: AI Agents can quickly access real-time market data through MCP services, generate investment recommendations with AI analysis, and directly execute trades, delivering a more seamless experience.
Account Management Assistant: Users can query account assets, profit/loss status, or historical transaction records via natural language, instantly accessing brokerage services and leveraging AI Agents to generate portfolio reports.
Real-Time Risk Monitoring: AI Agents dynamically monitor portfolio risk levels by accessing securities risk assessment services, providing automated risk alerts and mitigation suggestions.
LongPort MCP offers the following advantages:
LongPort MCP supports out-of-the-box use, meeting the investment analysis and securities trading needs of most AI Agents.
Natural language access to LongPort OpenAPI services, significantly lowering the barrier for professional investors to use brokerage APIs.
No coding required, enabling rapid development of AI-driven investment analysis and securities trading applications, greatly improving efficiency.
Simultaneously, the LongPort Team introduced the "LLMs Text" application, empowering professional quantitative investors to use natural language to drive AI Agents in building quantitative trading strategies.
The LongPort Team has fully rewritten the LongPort OpenAPI documentation in the "LLMs Text" standard format. Professional developers can configure all LongPort OpenAPI documentation in AI code editors like Cursor, allowing AI Agents to use it as a complete API reference resource. This helps AI quickly access programming documentation and API resources, generating trading strategy code based on natural language prompts.
With the "LLMs Text" application provided by the LongPort Team, professional quantitative investors can significantly reduce coding efforts, focusing more on exploring trading strategies.
Below is a demonstration video of configuring "LLMs Text" in Cursor:
Investors interested in using MCP or "LLMs Text" to build AI Agents for investment analysis and securities trading can learn more about the setup process on the LLM page of LongPort OpenAPI.
URL (click to visit):
https://open.longportapp.cn/zh-CN/docs/llm
Longbridge will continue to provide professional investors with advanced AI tools, actively exploring AI applications in financial services and delivering cutting-edge technical support to lower investment barriers. Our goal is to empower Longbridge community members with AI, making everyone an analyst and trader.:42
The copyright of this article belongs to the original author/organization.
The views expressed herein are solely those of the author and do not reflect the stance of the platform. The content is intended for investment reference purposes only and shall not be considered as investment advice. Please contact us if you have any questions or suggestions regarding the content services provided by the platform.
