Real-time Web Search RAG MCP

Example Use Cases

• 1

  Combine local document knowledge with fresh web search results.

• 2

  Dynamic orchestration between vector search and external API calls.

• 3

  That require transparent, citation-backed AI-generated answers.

Description

This MCP server integrates Retrieval-Augmented Generation (RAG) using local knowledge bases with live web/API search fallback through the Model Context Protocol (MCP). It dynamically orchestrates between local vector search and external web tools to provide transparent, citation-backed responses. The system is production-ready with Docker support, health checks, and extensibility for adding new data sources or LLM providers.