AI Agent

About

The AI Agent offers a robust implementation of the Model Context Protocol, enabling seamless interactions and communication among AI agents. Built with FastAPI and Python 3.11+, it provides a scalable and secure backend for orchestrating agent workflows. The server prioritizes developer experience with tools like Taskfile and Devbox, ensures code quality through extensive testing and linting, and maintains high security standards with automated container scanning and a defined release process for secure deployments.

Key Features

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• Integrates robust security scanning with Trivy, enforcing deployment blocking for critical/high vulnerabilities.
• Implements the Model Context Protocol for AI agent interactions using FastAPI and Python.
• Features automated container image builds, security scanning, and a defined release process for secure deployments.
• Offers a structured development environment with comprehensive testing (unit, integration, E2E) and code quality tools.
• Automates setup and common development tasks using NuShell scripts and Taskfile.

Use Cases

• Facilitating secure and scalable communication between multiple AI agents.
• Building robust backend infrastructure for AI-driven applications and services.
• Deploying containerized AI agent interaction services with integrated security and CI/CD.