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.
Privacy-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.
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Quality signal
56/100 (Good)
48/100 (Fair)
Install path
npx · high
pip · high
Engagement
1 0 0 360
0 0 0 29,758
Tools
Runs 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 tools
Self-hosted knowledge graph with vector and graph searchIngestion from over 30 data sources and multiple formatsOntology generation grounded in cognitive sciencePersistent memory across AI agent sessionsSupport for multimodal data and evolving knowledge relationshipsOpen-source with Python client and plugins for integration
