Enquire Mcp vs Graphlit Mcp Server

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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Enquire Mcp
oomkapwn
🧠 Knowledge & Memory
🧠 Knowledge & Memory
SummaryLong-term memory for AI agents (Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw) backed by a local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantization, agentic RAG (HyDE + sub-question), GraphRAG-light (Louvain wikilink community detection), standalone Obsidian Bases, PDFs + Tesseract OCR. 46 tools, 19 MCP prompts, MIT, SLSA L2, zero cloud calls during serve. npx -y @oomkapwn/enquire-mcp serve --vaultIngest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.
Quality signal24/100 (Emerging)28/100 (Emerging)
Install pathnpx · highnpx · high
Engagement 0 0 0 0 0 0 379
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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