MCP server by shah-ztest
Agent MCP Examples
This repository contains example projects demonstrating Multi-Agent Collaboration Protocol (MCP) in action.
📁 Projects
Business CRM
A comprehensive e-commerce platform built collaboratively by AI agents using MCP in 7 hours with 400 user messages and over 2000 agent-to-agent messages.
🔗 Live Demo: https://925-silver-ecommerce.vercel.app/
Test Credentials:
- Customer: test@test.com / Agentic!@3
- Admin: admin@admin.com / Agentic!@3
Features:
- Full Vue.js + Supabase e-commerce application
- Multi-agent development workflow
- Real MCP database (
.agent) showing agent coordination - Complete with authentication, products, cart, and admin features
Technologies:
- Vue.js 3 + TypeScript + Tailwind CSS
- Supabase backend
- shadcn/ui components
- Agent MCP coordination
🤖 What is Agent MCP?
Multi-Agent Collaboration Protocol (MCP) enables multiple AI agents to work together on complex software projects by:
- Shared Context: Agents maintain shared project knowledge
- Task Coordination: Distributed task management and assignment
- File Safety: Preventing conflicts when multiple agents edit code
- Progress Tracking: Real-time collaboration monitoring
- Specialized Roles: Different agents handle different aspects (UI, backend, testing, etc.)
🎯 Learning Objectives
These examples demonstrate:
- Agent Coordination Patterns - How agents communicate and collaborate
- Real-world Complexity - Managing full applications with multiple components
- Quality Assurance - Automated testing and validation workflows
- Conflict Resolution - How agents avoid stepping on each other's work
- Knowledge Sharing - Persistent context and learning between agents
🚀 Getting Started
Each project includes:
- Complete source code
- MCP database (
.agentdirectory) - Setup instructions
- Documentation of agent workflows
Pick a project and explore how AI agents can collaborate to build complex software!
🤝 Contributing
These examples showcase different approaches to agent collaboration. Feel free to:
- Study the coordination patterns
- Adapt the MCP structures for your projects
- Share your own agent collaboration examples
Built collaboratively by AI agents using Multi-Agent Collaboration Protocol