mcp-local-rag and knowledge-to-action-mcp
These are complements: one provides the RAG retrieval infrastructure (local semantic/keyword search), while the other adds graph-based knowledge organization and agent planning on top, allowing them to work together in an MCP-native knowledge system.
About mcp-local-rag
shinpr/mcp-local-rag
Local-first RAG server for developers using MCP. Semantic + keyword search for code and technical docs. Fully private, zero setup.
This tool helps developers quickly find answers within their technical documentation and codebase. You feed it your code, internal specs, research papers, or API docs (PDFs, Word docs, text files, or HTML from websites), and it provides relevant snippets in response to your questions. It's designed for developers who need to search their private, sensitive, or offline project documents.
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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