mcp-local-rag and supernova-mcp-rag

These two tools are complements, as nkapila6/mcp-local-rag provides a "primitive" RAG-like web search model context protocol (MCP) server that runs locally, while shabib87/supernova-mcp-rag is a practical proof-of-concept demonstrating how to build and run a local MCP server with RAG, implying the latter could leverage or build upon the functionality provided by the former.

mcp-local-rag
53
Established
supernova-mcp-rag
32
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 17/25
Maintenance 2/25
Adoption 1/25
Maturity 15/25
Community 14/25
Stars: 118
Forks: 19
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 1
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

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.

AI-assistant-research information-retrieval deep-research web-search knowledge-discovery

About supernova-mcp-rag

shabib87/supernova-mcp-rag

A practical POC demonstrating how to build and run a local MCP server with Retrieval-Augmented Generation (RAG) for semantic search over internal documentation. Leverages Node.js, TypeScript, Hugging Face embeddings, and an in-memory vector store to enable fast, context-aware answers in tools like Cursor.

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