Multi-Protocol RAG Server

Example Use Cases

• 1

  Integrate with multiple AI protocols including MCP and A2A.

• 2

  A unified backend for retrieval augmented generation across different client types.

• 3

  Scalable and flexible deployment options with protocol-specific optimizations.

Description

This server implements a unique dual-protocol architecture combining Model Context Protocol (MCP) and Google Agent-to-Agent (A2A) protocols to enable flexible AI system integration with a unified RAG backend. It supports seamless communication with MCP-compatible AI models and Java-based agent communication via A2A, allowing scalable and optimized retrieval augmented generation operations. The project leverages Spring Boot and MongoDB Atlas for robust backend support and demonstrates protocol-specific optimizations while maintaining a common core.