FastAgent is an intelligent backend orchestration system designed to streamline database management and data analysis through agentic workflows. Built using FastMCP and the Google Agent ADK, the platform serves as a sophisticated bridge between Large Language Models and backend infrastructure.
By utilizing a high-performance Model Context Protocol layer, the agent can autonomously perform complex CRUD operations and automated data analysis on game sales datasets. This project demonstrates how AI agents can transform traditional manual database administration into a conversational, insights-driven experience, enabling real-time trend reporting and seamless relational data handling.
- Agentic Backend Operations: Leverages Google Agent ADK to interpret natural language for database tasks.
- MCP Integration: Uses FastMCP for standardized, high-speed communication between LLMs and local tools.
- Game Sales CRUD: A fully functional management system for gaming industry data.
- Automated Data Analysis: Performs complex queries and generates insights from sales trends using AI reasoning.
- Database Support: Integration ready for PostgreSQL (relational).
git clone [https://github.com/DPBhuvanesh/FastAgent.git](https://github.com/DPBhuvanesh/FastAgent.git)
cd FastAgentpip install --upgrade pip
pip install -r requirements.txt