Ep 25: MCP Capstone — Building an AI-Powered Universal Workspace
The Goal: Universal AI Workspace
One natural-language interface driving everything.
graph TB
User["👤 'Find last week's bugs,
compile a report, email the tech lead'"]
User --> Agent[🤖 AI Agent]
Agent -->|"1"| GH["🐙 GitHub: search bugs"]
Agent -->|"2"| RAG["🔍 RAG: find solutions"]
Agent -->|"3"| Code["💻 Format report"]
Agent -->|"4"| Email["📧 Send email"]
style Agent fill:#ff6d5b,stroke:#e55a4e,color:#fffFull Architecture
graph TB
subgraph "Entry Layer"
Chat[💬 Web Chat] & TG[📱 Telegram] & SL[💬 Slack]
end
subgraph "Agent Layer"
Agent[🤖 AI Agent + Memory]
end
subgraph "MCP Tool Layer"
GH[🐙 GitHub] & RAG[🔍 RAG] & Mail[📧 Email] & DB[🐘 DB] & FS[📂 Files]
end
subgraph "Ops Layer"
Reg[📋 Registry] & Health[💓 Health] & Mon[📊 Monitor]
end
Chat & TG & SL --> Agent --> GH & RAG & Mail & DB & FS
Reg & Health & Mon --> GH & RAG & Mail & DB & FS
style Agent fill:#ff6d5b,stroke:#e55a4e,color:#fffModule 5 Complete!
mindmap
root((Module 5: MCP Ecosystem))
Ep 21 Protocol Fundamentals
Ep 22 MCP Client Hands-on
Ep 23 MCP Server (n8n as provider)
Ep 24 Orchestration & Health
Ep 25 Full AI WorkspaceNext Module
Module 6: Multi-Agent Production Architecture — error handling, sub-workflow orchestration, version control, and enterprise best practices.