Gate for AI >

Gate for AI is an AI-native crypto infrastructure that enables AI agents to interact with crypto markets through MCP (Model Context Protocol) and modular AI Skills—covering trading, market data, wallets, news, and on-chain information.

MCP (Model Context Protocol) is a standard that allows AI agents to securely access external tools, APIs, and services. It provides a structured interface for AI models to interact with real-world systems. In Web3, MCP enables AI agents to connect to crypto exchanges, wallets, and on-chain data services. Through MCP endpoints, agents can retrieve market data, analyze blockchain information, and execute actions using reliable and standardized APIs.

Yes. Gate for AI is designed to plug into leading AI models and agent frameworks. Use MCP + Skills to connect ChatGPT, Gemini, Claude, Qwen (Tongyi), OpenClaw, and custom agents.

Enable the Exchange and/or DEX modules, authenticate your agent, then call trading Skills for quotes, order placement, and portfolio checks—optionally combining News + Info modules for research and on-chain context.

AI Skills are task-level capabilities that allow AI agents to perform complex workflows. A skill combines intent understanding, workflow orchestration, and multiple MCP tool calls to complete specific tasks. For example, a trading skill may use MCP tools to retrieve market prices, analyze liquidity, evaluate risk, and execute orders. By orchestrating multiple tools together, AI Skills enable agents to automate trading, portfolio monitoring, and market analysis.

Gate MCP is Gate's implementation of the Model Context Protocol designed for crypto trading infrastructure. It enables AI agents to access exchanges, wallets, and blockchain data through standardized APIs.

Gate MCP provides the protocol layer for Gate for AI, allowing AI agents to access crypto infrastructure. AI Skills orchestrate MCP tools into workflows such as trading, portfolio monitoring, and market analysis.