Pcq vs Gnomon Mcp

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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Pcq
playidea-lab
🧮 Data Science Tools
G
Gnomon Mcp
lihtness
🧮 Data Science Tools
SummaryAgent-operable ML experiment contract (cq.yaml + JSON contracts) with a built-in MCP server exposing 14 tools (resolve/inspect/run/validate/describe/compare/lineage) for running, validating, and tracing experiments across any framework (PyTorch / HF Trainer / Lightning / sklearn / XGBoost). Apache-2.0.Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich now() snapshot (18 fields), calendar(ops) batch dispatcher (diff/until/since/add/weekday/businessdays, natural-language parsing), calc(expressions) Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. uvx gnomon-mcp.
Quality signal23/100 (Emerging)27/100 (Emerging)
Install pathnpx · lowuvx · high
Engagement 1 0 0 4 0 0 1
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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