Mcp Local Rag vs Penfield Mcp

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Mcp Local Rag logo
🧠 Knowledge & Memory
Penfield Mcp logo
Penfield Mcp
penfieldlabs
🧠 Knowledge & Memory
SummaryPrivacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.
Quality signal56/100 (Good)51/100 (Fair)
Install pathnpx · highnpx · high
Engagement 1 0 0 360 0 0 0 6
ToolsRuns fully locally with no external API or cloud dependencySupports semantic search combined with keyword boosting for exact matchesIndexes PDF, DOCX, Markdown, and plain text filesSemantic chunking preserves topic boundaries and code blocksMCP protocol support for integration with AI tools and CLI usageFile sync and incremental indexing with status and control tools17 tools for memory, knowledge graph, context, and artifact managementHybrid search combining BM25, vector embeddings, and graph connections24 relationship types for rich knowledge graph constructionContext checkpointing with awaken and reflect tools for session continuityCross-platform synchronization across multiple MCP clientsArtifact storage with save, retrieve, list, and delete capabilities
Verified / officialNoNo
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