TL;DR:
- Bitget updated its Agent Hub platform with the Skills and CLI modules, completing an integration stack alongside MCP and REST/WebSocket API.
- After the upgrade, Agent Hub covers nine capability modules and 58 tools, including spot, futures, copy trading and wealth management.
- AI agents like OpenClaw can connect to the platform in three steps and take approximately three minutes to trade in real-time markets.
The crypto exchange Bitget announced an update to its artificial intelligence trading infrastructure platform, known as Agent Hub.
The upgrade introduces two core modules: Skills and a command-line interface (CLI), added to support for the Model Context Protocol (MCP) and the REST/WebSocket APIs launched the previous month. The result is a complete invocation stack connecting AI models, development tools and real-time trade execution.
Bitget Puts AI at the Center of Operations
The Skills mechanism allows artificial intelligence agents such as Claude Code and OpenClaw to automatically interpret the user’s trading intent and trigger real-time actions through bgc. The module exposes the full set of APIs with standardized JSON output, facilitating integration with scripts, data pipelines and AI agent workflows at the system level. According to the exchange’s official announcement, the architecture allows agents to move from analysis to execution with minimal configuration.
Following this latest update, Agent Hub covers nine core capability modules and 58 tools spanning spot, futures, copy trading and wealth management operations. Developers can connect the platform to OpenClaw through three configuration steps in approximately three minutes, gaining simultaneous access to real-time market data, order execution and asset and account management.
The Bitget update will take a further step toward normalizing autonomous trading, both onchain and off-chain, powered by artificial intelligence. It also complements the low-latency REST and WebSocket API suite covering spot, futures and copy trading, giving developers a stable foundation for building automated trading systems and AI-native applications.
Empowering Users
Gracy Chen, CEO of Bitget, noted that the upgrade responds to the exchange’s mission of enabling its “125 million users to trade like Wall Street professionals.” Chen acknowledged that AI trading still requires education and trust from users, but stressed that the inflection point for this technology is approaching. Bitget states that, following this update, Agent Hub achieves the broadest functional coverage and most complete technical standards support among the leading exchanges in the market.
