Skill Seekers vs Ckg 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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Skill Seekers
skill-seekers
🧠 Knowledge & Memory
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Ckg Mcp
Yarmoluk
🧠 Knowledge & Memory
SummaryTransform 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.Compressed Knowledge Graphs (pre-structured dependency DAGs) as MCP context — agents traverse declared edges instead of inferring from text. Open CKG Benchmark (64 domains, 10,838 queries): 3.8× RAG's F1 at 11× fewer tokens, 42× RDS, 0 fabricated edges by construction. 97 domains, 4 tools, no DB/embeddings. pip install ckg-mcp
Quality signal33/100 (Emerging)23/100 (Emerging)
Install pathnpx · lowpip · high
Engagement 0 0 0 14,669 0 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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