Bybit Launches MCP to Power AI-Driven, Multi-Agent Trading Infrastructure

23 April 2026 | Thursday | News

New protocol enables traders and developers to build automated trading systems using AI agents, offering seamless access to market data, execution, and portfolio management without complex API integrations
Picture Courtesy | Public Domain

Picture Courtesy | Public Domain

Bybit, the world's second-largest cryptocurrency exchange by trading volume, has launched its official Model Context Protocol (MCP), providing standardized infrastructure for professional traders and developers to build multi-agent trading systems. Bybit's MCP allows traders to build their own automated trading desks powered by popular AI agents including Claude, ChatGPT, Cursor, and other compatible platforms, without custom API integration or code management.

As artificial intelligence becomes central to modern trading workflows, traditional exchange infrastructure optimized for human traders is need of an upgrade. The emerging paradigm requires trading infrastructure designed for AI agents operating continuously across markets at scale.

The MCP standard provides a common protocol for AI agents to discover and integrate with external tools and data sources. By launching MCP support, Bybit allows its infrastructure to be discovered and utilized by any MCP-compatible AI application. This represents a shift from toward open standards for interoperability.

Bybit MCP unlocks access to four core functional modules every trader needs, now available through MCP-compatible AI copilots:

  • Market Data Module: Real-time ticker data, candlestick aggregations, order book snapshots, and fee schedules. Agents can stay on top of market conditions and execute decisions based on live data feeds.
  • Trading Module – to be expanded: Support for spot trading, perpetual futures contracts, conditional orders, stop-loss and take-profit orders, and leveraged positions.
  • Account and Asset Module: Portfolio visibility including account balances, open positions, order management, and transaction history, helping agents enforce constraints and make context-informed decisions.
  • Real-Time Data Streams (through WebSocket): Persistent market updates, trade execution feeds, and position change notifications. WebSocket connectivity enables latency-sensitive strategies and reactive automation patterns.

"Every exchange is building AI features. Bybit is building AI infrastructure. We are establishing the foundation for how AI will trade at enterprise scale," said Victor Wu, Head of AI Agent Architecture at Bybit. "We have moved the needle in AI innovation from developing standalone tools to creating a standardized protocol layer. Bybit's MCP enables multi-agent orchestration and sophisticated automation. This is the future of trading infrastructure when AI becomes the primary interface."

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