Skill Seekers vs Longhand

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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Longhand
Wynelson94
🧠 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.Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy recall, deterministic replayfile, and git-aware recallprojectstatus. Published on PyPI as longhand and registered in the MCP Registry.
Quality signal33/100 (Emerging)27/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 0 0 0 14,669 0 0 0 12
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Skill SeekersView Longhand
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