Giving an AI agent live prediction-market data with an MCP server

The Model Context Protocol (MCP) enables AI agents to access real-time external data, such as Polymarket prediction-market pricing, by allowing models to call tools during reasoning. While Hermes AI Agent manages multi-step workflows and memory effectively, tool layer complexity often causes failures. Implementing a unified MCP gateway resolves these issues by centralizing authentication and response formats. This integration reduces complexity for the Hermes open-source runtime, ensuring agents receive trustworthy, current information for accurate task execution.