Skill Seekers vs Cortex Plugin

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
C
🧠 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, self-evolving memory plugin for Claude Code. Background miner extracts durable lessons (decisions, conventions, bug fixes) from completed sessions via Claude Haiku, stores them as human-readable markdown in an Obsidian vault, and assembles query-tailored context briefings at session start. Local-first, no cloud, no API keys. Self-healing install via uv bootstrap shim, /cortex-doctor preflight, graceful FTS-only degraded mode when claude CLI missing. MIT.
Quality signal33/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 0 0 0 14,669 0 0 0 33
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Skill SeekersView Cortex Plugin
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