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

If you are building an AI agent, the hardest part is rarely the model. It is getting the model trustworthy, current data at the moment it needs to act. A language model trained months ago has no idea what Polymarket is pricing a question at right now. The Model Context Protocol (MCP) is how you close that gap: it lets an agent call external tools mid-reasoning. Here is how that works for prediction-market data, and why it matters. What an MCP server actually is An MCP server exposes...