The platform operates through the Model Context Protocol (MCP), an open standard that provides AI agents with direct API access to execute actions on behalf of users. Gemini integrated its entire trading API with MCP, enabling AI models to access all exchange features.
The system includes modular Trading Skills, or pre-built functions that AI agents call to perform specific tasks. The exchange launched with three initial modules: Get Market Data for real-time price information, Find the Spread for bid-ask analysis, and Retrieve Candles for historical price data.
Traders can connect any MCP-compatible AI model, including Anthropic's Claude and OpenAI's ChatGPT, to execute strategies ranging from basic buy and sell orders to complex multi-leg positions. The exchange positioned the launch as part of a broader transformation in financial market interaction.
“We believe we're at the beginning of a fundamental shift in how people interact with financial markets,” Gemini wrote in a blog post. “Agentic trading isn't just a feature. It's a new paradigm where AI handles the execution, patterns, and discipline, while you focus on strategy and goals.”
Gemini’s stock is up slightly on the day, rising about 0.25% since the opening bell to recently trade at $4.40. While up about 7% in the last month, GEMI shares have fallen more than 55% since the start of the year.
