Ratary vs Skill Seekers

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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Ratary
ontorata
🧠 Knowledge & Memory
S
Skill Seekers
skill-seekers
🧠 Knowledge & Memory
SummaryPersistent coding memory for AI assistants — hybrid search, knowledge graph, token-efficient context. MCP stdio (28 tools), npm @ratary/mcp-server, optional remote Streamable HTTP. Self-host D1, Postgres, MariaDB, or Docker.Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.
Quality signal21/100 (Emerging)33/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 0 0 0 0 0 0 14,669
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView RataryView Skill Seekers
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