Skill Seekers vs Midas

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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Midas
vornicx
🧠 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.Local-first memory for long-horizon AI agents with no LLM at ingest — $0 per message, zero data egress, verbatim source-traceable recall. Typed belief revision, selective forgetting, and a provenance guard that blocks memory-justified destructive actions unless user-confirmed. One midas init wires Claude Code, Cursor, Codex, and 6 more clients to one shared SQLite memory; local web inspector and hash-chained audit log. Benchmarked on LongMemEval/LoCoMo/BEAM with one-command repros — including published negatives. uvx midas-memory-mcp or npx -y midas-memory-mcp
Quality signal33/100 (Emerging)27/100 (Emerging)
Install pathnpx · lowuvx · high
Engagement 0 0 0 14,669 0 0 0 12
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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