Bybit AI Expands to Infrastructure Layer with Official MCP Release for Multi-Agent Trading

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.

With Bybit MCP, traders can access live market data, execute trades, and manage portfolios, all through natural language commands. The new infrastructure scales from single-agent to multi-agent architectures while eliminating the friction of custom API configuration. It enables developers to compose advanced systems with deep customizations, and deploy complex automated strategies across the full data-to-execution user journey.

The Shift to AI-Native Infrastructure

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.

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Bybit MCP: A Powerful Bridge to Full Automatization

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.”

Taking Control of the Security Parameters: Authorized Access Only

In addition to its powerful trading potential, Bybit’s MCP architecture preserves user control of credentials and permissions. The implementation enforces credential isolation by design: Bybit does not store, transmit, or have access to API keys or private keys used by agents.

• Credential isolation: API keys remain on developer infrastructure; Bybit receives only authenticated API requests from the MCP implementation.
• Granular permissions: API keys can be scoped to read-only queries, specific trading permissions, or full execution capabilities.
• Testnet validation: Strategies can be tested with simulated funds before risking capital on Mainnet.
• Local execution: The MCP implementation runs in user-controlled environments, eliminating third-party intermediaries in the credential chain.

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