Webull Japan Integrates Generative AI with Trading API, Launching 'MCP Server' and 'Agent Skills'
Webull Securities, the Japanese subsidiary of global digital investment platform Webull Corporation (NASDAQ: BULL), has launched two new API integration tools geared toward AI agents and AI coding assistants: “Webull MCP Server” and “Webull Agent Skills.”
According to the company, this marks the first time a domestic brokerage in Japan has offered a Model Context Protocol (MCP) server that supports trading APIs for both Japanese and U.S. equities.
The newly launched features allow developers to seamlessly connect the Webull Open API with popular AI development tools, such as Cursor, Claude Desktop, and Kiro. Through this integration, users can execute trades, retrieve market data, and manage portfolio positions using natural language commands.
Technical Capabilities and AI Integration
The “Webull MCP Server” utilizes the Model Context Protocol introduced by Anthropic, enabling AI agents to securely access Webull’s OpenAPI. To facilitate direct interaction, “Webull Agent Skills” operates as a Python-based local script that can be called directly by AI coding assistants.
Using natural language, developers can now prompt their AI tools to execute a variety of tasks, including:
- Retrieving real-time stock prices
- Checking account balances and open positions
- Placing, modifying, or canceling cash and margin trades
- Reviewing order histories and transaction details
All operations are secured through a two-factor authentication (2FA) token flow.
Optimizing Documentation for Generative AI To further accommodate the rising trend of "AI Trading," Webull has optimized its API documentation specifically for artificial intelligence. The documentation is now compatible with the "llms.txt" standard and is available in Markdown format. This design is built on the premise of Retrieval-Augmented Generation (RAG), allowing developers to generate code within AI tools like Cursor or Claude while the AI directly references Webull’s API specifications.
Market Context
Webull noted that the rapid evolution of generative AI is shifting development styles, driving global interest in AI-powered market analysis, natural-language trading system development, and Python-based algorithmic trading. However, the company pointed out that traditional financial APIs are often structurally complex, making it difficult for generative AI to accurately interpret their specifications.
By reorganizing its API and implementation data to be "AI-friendly," Webull aims to provide a next-generation developer experience tailored for the AI era.
Webull Group currently serves over 26 million individual investors across 14 regions globally, offering 24/7 access to global financial markets.
Norbert Gehrke
