MCP-RAG — MCP Servers

Overview

Orchestrates multi-agent AI workflows for business analysis by combining Model Context Protocol (MCP) with Retrieval-Augmented Generation (RAG). This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to MCP-RAG's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Use Cases