AI

AI Agent + Web3 Research DeFAI & AgentFi: Autonomous AI Trading and Yield Optimization Agents collect market information, predict future trends, and autonomously execute trades to generate returns. Agents are likely to remain more rational than humans, potentially delivering higher long-term returns. Agents can manage funds on behalf of users, monitor markets, spot high-yield opportunities early, and enter positions ahead of the crowd to capture early-bird returns. They can also detect negative signals, predict losses, and exit positions preemptively to hedge risk. Or they can automatically rebalance based on price to ensure users’ provided liquidity keeps earning yield. ...

Updated 0115 Lol, turns out there was already a ready-made solution and I was here drawing diagrams from scratch 😅 https://mcp-auth.dev/docs/tutorials/todo-manager I’ve been experimenting with building some MCP servers lately. When dealing with multiple users, authorization becomes a concern. MCP clients (Agents) currently need to complete authorization when connecting to an MCP server, i.e., at initialization time. I mapped out two MCP OAuth flows for reference in future development. Case 1: The third-party app natively supports OAuth. This is the simpler case — just authorize directly with the third-party app, and the Agent can call tools normally. ...