Webull Launches "Webull MCP Server" and "Webull Agent Skills"

Webull Securities Co., Ltd. (Location: Chuo-ku, Tokyo; Representative Director: Kazu Kojima), the Japanese base of leading digital investment platform Webull Corporation (NASDAQ: BULL), announced the launch of support for "Webull MCP Server" and "Webull Agent Skills" as new API integration features for AI agents and AI coding tools.

These features enable AI development tools such as Cursor, Claude Desktop, and Kiro to integrate with Webull Open API, allowing for natural language-based market data acquisition, order execution, and position management.

Furthermore, Webull Open API documentation supports machine readability in "llms.txt" format, providing a development environment with enhanced compatibility for generative AI.

*As of May 13, 2026, according to our research, Webull is the only domestic securities company that officially offers "MCP Server" and provides integration with both Japanese and US stock trading APIs.

**Growing "AI Trading" Needs in the AI Era**

In recent years, with the rapid evolution of generative AI, development styles utilizing AI agents and AI coding assistants have rapidly spread. Especially overseas, there is growing attention to new development areas called "AI Trading" and "AI-powered Trading," such as:

* AI-driven market analysis * Development of natural language-based trading systems * Order assistance by AI agents * Python-based algorithmic trading * Research on AI-powered automated trading

On the other hand, APIs provided by financial institutions and securities trading APIs often have complex structures, making it difficult for generative AI to understand their specifications.

In response to these environmental changes, Webull Securities aims to provide a developer experience suitable for the AI era by preparing AI-understandable API information and implementation details.

**Main Contents**

**1. Supports MCP (Model Context Protocol)**

Webull MCP Server supports Anthropic's "Model Context Protocol (MCP)."

This allows AI agents to securely access Webull OpenAPI and perform market data acquisition and trading operations.

Improved connectivity with AI tools enables developers to realize use cases such as:

* Real-time stock price data acquisition * Account balance and open position inquiry * Order placement (including modification and cancellation) for spot stocks and margin trading * Order history and detailed order inquiry

Webull MCP Server Documentation

**2. AI Agents can acquire market data and execute orders in natural language**

"Webull Agent Skills" operates as a Python-based local script and can be directly called by AI coding assistants.

This allows users to perform operations such as:

* Real-time stock price data acquisition * Account balance and open position inquiry * Order placement (including modification and cancellation) for spot stocks and margin trading * Order history and detailed order inquiry * Authentication via 2-factor authentication (2FA) token flow

Webull Agent Skills Documentation

**3. AI-Friendly Document Design**

Webull OpenAPI supports the AI-oriented documentation standard "llms.txt."

Furthermore, each documentation page is also available in Markdown format, designed for integration with RAG (Retrieval-Augmented Generation) and AI agents.

This allows developers to generate code while directly referencing Webull API specifications on AI tools such as Cursor and Claude.

Webull llms.txt Documentation

**Promoting Information Development for Developers with AI Utilization in Mind**

In recent years, some competitors have also been advancing API-related functions and information provision with AI agent integration in mind.

Amidst this, Webull Securities is promoting the development of an AI-native development environment, aiming to realize "AI-understandable APIs" and an "AI-era developer experience."

Moving forward, we will continue to expand API, AI, and developer-oriented functions to lead the next generation.