Mathlas vs Filter Mcp Server

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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Mathlas
Archerkattri
🧮 Data Science Tools
F
🧮 Data Science Tools
SummaryAirtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP
Quality signal23/100 (Emerging)20/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 1 0 0 9 1 0 0 1
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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