Coldstart 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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C
Coldstart
AkashGoenka
🧠 Knowledge & Memory
S
Skill Seekers
skill-seekers
🧠 Knowledge & Memory
SummaryCodebase memory for coding agents, with no embeddings and no API key. A deterministic AST index answers "which files are relevant to this task?" in milliseconds, and agents write durable notes about the repo that are content-hash checked — a note flags itself stale the moment the code it describes changes. Notes are markdown inside the repo, so they commit and review alongside your code. npm i -g @cstart/coldstart && coldstart initTransform 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 signal24/100 (Emerging)33/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 1 0 0 0 0 0 14,669
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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