mcp-local-rag and knowledge-to-action-mcp
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 knowledge-to-action-mcp
tac0de/knowledge-to-action-mcp
MCP server for Obsidian GraphRAG, agent-ready context, preview-only planning, and safe repo handoffs
Combines graph-aware note retrieval with optional embeddings-based semantic reranking to surface contextual neighbors, then structures results into agent-ready packets containing briefs, risks, and repo file hints. Implements preview-only action planning and bounded workspace inspection (ripgrep, git status) without exposing shell access, integrating via stdio with Claude, VS Code, and Cursor.
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