Why This Project Matters

This project demonstrates how AI agents can interact with real-world systems through standardized tool interfaces (MCP servers).

Instead of simply generating text, the AI agent is able to:

• Retrieve data from external APIs
• Process structured information
• Persist data in a database
• Generate technical design documents
• Automate GitHub project creation
• Create development tasks from an application idea

This architecture reflects a growing trend in AI development where agents act as autonomous operators capable of orchestrating complex workflows across multiple systems.

The project highlights practical applications of:

• AI-driven automation
• Agent-based architectures
• Tool-based AI integrations
• Developer workflow automation

These are increasingly important patterns in modern AI platforms and developer tooling.

Architecture Overview

                        +---------------------+
                        |     User Input      |
                        |  (App Idea String)  |
                        +----------+----------+
                                   |
                                   v
                        +---------------------+
                        |   Idea MCP Server   |
                        +----------+----------+
                                   |
                                   v
                        +---------------------+
                        |    CrewAI Agent     |
                        |  (Design Generator) |
                        +----------+----------+
                                   |
                                   v
                      +-------------------------+
                      |   High-Level Design Doc |
                      +-----------+-------------+
                                  |
                                  v
                        +---------------------+
                        | GitHub MCP Server   |
                        +----------+----------+
                                   |
                    +--------------+--------------+
                    |                             |
                    v                             v
          Upload Design Doc              Create GitHub Issues
                    |
                    v
            Copilot retrieves issues
                    |
                    v
            Application development

Data Scraping Pipeline

CrewAI Agent
     |
     v
API MCP Server
     |
     +---- JSONPlaceholder
     +---- DummyJSON
     +---- TVMaze
     |
     v
Process Data
     |
     v
Database MCP Server
     |
     v
Database Storage

This demonstrates how AI agents can orchestrate external services without direct system access, using MCP servers as secure tool interfaces.

Skills Demonstrated

This project showcases several important engineering skills:

AI Engineering

• CrewAI multi-agent orchestration
• AI task delegation
• Prompt-driven system design

Backend Development

• API integration
• Server architecture
• Database interaction

MCP Tool Development

• Custom MCP server implementation
• Tool abstraction layer for AI agents
• API-to-agent communication

DevOps Automation

• GitHub repository automation
• Issue generation from design documents
• AI-assisted development workflow

CrewAI + MCP Automation Platform Developed an AI-driven system using CrewAI agents and MCP servers to orchestrate APIs, generate system design documents, and automate GitHub project creation from application ideas.

AI Agent Automation Platform (CrewAI + MCP) Built a multi-agent system that integrates external APIs, databases, and GitHub workflows through MCP servers, enabling automated data pipelines and AI-generated application design.

AI agent automation platform using CrewAI and MCP servers to orchestrate APIs, databases, and GitHub workflows from a simple application id

... [View full README on GitHub](https://github.com/dgallula/lab9-mcp-server-crewai#readme)