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Autonomous AI Agents & MCP WorkflowsAdvanced

Build an MCP-Powered Workflow Engine 🤖

Review Project Deliverables

Connect AI agents to real external context sources and tools using Model Context Protocol (MCP) standards. You will design tool contracts, implement an MCP server, simulate client interactions, and add the permissions and observability a production workflow needs.

Estimated Time⏱ 20–25 hours
Milestones🏁 0 Milestones
Format⚡ 100% Hands-on & Interactive

Project Roadmap

Complete each milestone to build your final deliverable step by step.

The milestone roadmap for this project is being finalized. Check back soon.

🎯 Final Deliverable

Complete MCP server specification and simulated client interaction harness.

🧠 Skills Mastered

  • ✓Model Context Protocol
  • ✓Tool Contract Design
  • ✓TypeScript
  • ✓Agent Orchestration
  • ✓Workflow Observability

🛠 Tools & Concepts

Model Context Protocol (MCP)TypeScriptTool CallingAPIs
Mentor Note

MCP is an interface contract. Treat every resource and tool as a public API with explicit permissions, limits, and failure modes.

— UFI AI Academy Team
Build an MCP-Powered Workflow Engine — Projects