Kaggle vs Mathlas

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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K
Kaggle
pramod
🧮 Data Science Tools
M
Mathlas
Archerkattri
🧮 Data Science Tools
SummaryThis Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.
Quality signal23/100 (Emerging)23/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 2 0 0 1 0 0 9
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView KaggleView Mathlas
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