mcp-local-rag and Real-time-web-search-RAG-with-MCP
The conversational agent in B acts as a client that leverages the local RAG-like web search model context protocol (MCP) server provided by A for real-time web search capabilities.
About mcp-local-rag
nkapila6/mcp-local-rag
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
This tool helps large language models (LLMs) like Claude perform deep, up-to-date web research and answer questions using current information. It takes your natural language questions, searches across many web sources, extracts the most relevant details, and feeds them back to the LLM. Researchers, analysts, or anyone needing accurate, real-time information from an AI assistant would find this useful.
About Real-time-web-search-RAG-with-MCP
PranithChowdary/Real-time-web-search-RAG-with-MCP
A conversational agent that combines static knowledge (RAG over your docs) with real-time web search using an MCP server.
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