mcp-local-rag and supernova-mcp-rag

mcp-local-rag

Established

supernova-mcp-rag

Experimental

Maintenance 13/25

Adoption 10/25

Maturity 16/25

Community 17/25

Maintenance 2/25

Adoption 1/25

Maturity 9/25

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 ✨

Implements multi-engine web search across 9+ backends (DuckDuckGo, Google, Bing, Brave, Wikipedia) with semantic ranking using Google's MediaPipe text embeddings, extracting markdown from fetched URLs without external APIs. Exposes tools like `deep_research`, `deep_research_google`, and `rag_search_ddgs` as MCP resources compatible with Claude Desktop, Cursor, and other MCP clients. Deployable via `uvx` or Docker and includes Agent Skills that guide LLMs on query formulation and backend selection for privacy-aware or comprehensive research.

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.

Related comparisons

mcp-local-rag and knowledge-to-action-mcp mcp-local-rag and mcp-rag-server mcp-local-rag and repo-graphrag-mcp mcp-local-rag and mcp-rag-server mcp-local-rag and Real-time-web-search-RAG-with-MCP mcp-local-rag and mcp-local-rag

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