Is INSANE Fast Special MCP AI Agents The Future? (I think so)



AI Summary

Summary of the AI Agent System Demonstration

Overview

  • Presenter showcases their best AI agent system to date.
  • A task is set: retrieve the current Bitcoin price, save it, create a GitHub repository, and send an email.

Task Execution

  1. Setup
    • Timer started to measure performance.
    • Tools initiated for execution.
  2. Execution
    • An orchestrator generates a plan and delegates tasks to specialized agents:
      • Comms Agent: Handles communication (sending emails).
      • Web Agent: Fetches data from the web (current Bitcoin price).
      • Git Agent: Manages GitHub operations (creating repositories and pushing changes).
    • Task completed in approximately 1 minute and 20 seconds:
      • A file Bitcoin price.md created and pushed to GitHub.
      • Email sent confirming the task completion.

Configuration and Agent Setup

  • Each agent has dedicated servers for processing:
    • Comms Agent: Email and file system servers.
    • Web Agent: Fetching data from the web.
    • Git Agent: Connected to GitHub.
  • The orchestration allows effective task separation and execution.

Future Enhancements

  • Plan to add a memory server to store relevant job data and improve efficiency for repetitive tasks.
  • Example discussed: Using memory for automatic blog post generation based on previous prompts.

Resources

  • The complete setup has been made available on the presenter’s community GitHub for those interested.
  • Links to official Model Context Protocol servers provided for further expansion of the agent’s capabilities.