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.
Embeds documents locally using Ollama-compatible models, storing vectors in LanceDB for fast semantic + keyword hybrid search. Integrates with Cursor, Codex, and Claude Code via MCP protocol, while also offering a CLI interface for standalone indexing and querying without requiring an MCP client.
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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