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Merge pull request #14131 from headlessherm-creator/add-polymath-megablaster-mcp
Add polymath-megablaster-mcp (Data Science Tools)
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@@ -1887,6 +1887,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
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- [growthbook/growthbook-mcp](https://github.com/growthbook/growthbook-mcp) 🎖️ 📇 🏠 🪟 🐧 🍎 — Tools for creating and interacting with GrowthBook feature flags and experiments.
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- [gpartin/WaveGuardClient](https://github.com/gpartin/WaveGuardClient) [](https://glama.ai/mcp/servers/WaveGuard) 🐍 ☁️ 🍎 🪟 🐧 - Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.
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- [haiiibin/data-profiler-mcp](https://github.com/haiiibin/data-profiler-mcp) [](https://glama.ai/mcp/servers/haiiibin/data-profiler-mcp) 🐍 🏠 🍎 🪟 🐧 - Profiles tabular data files (CSV, TSV, Parquet, Excel, JSON) for LLM agents: one-call dataset overview, per-column statistics, a data-quality audit (missing values, duplicates, mixed types, outliers), and memory-saving dtype suggestions. Pure Python (pandas); files are read locally and nothing leaves your machine. `pip install data-profiler-mcp`.
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- [headlessherm-creator/polymath-megablaster-mcp](https://github.com/headlessherm-creator/polymath-megablaster-mcp) 📇 🏠 🍎 🪟 🐧 - Deterministic calculation for AI agents: exact-precision math (avoids float64 overflow), date arithmetic (leap years, business days), unit conversion, statistics, subnet math, haversine distance, base conversion, and Levenshtein distance. 15 tools, 100% local, no network calls, no API keys, no telemetry. `npx -y polymath-megablaster-mcp`. [](https://glama.ai/mcp/servers/headlessherm-creator/polymath-megablaster-mcp)
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- [HumanSignal/label-studio-mcp-server](https://github.com/HumanSignal/label-studio-mcp-server) 🎖️ 🐍 ☁️ 🪟 🐧 🍎 - Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.
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- [jjsantos01/jupyter-notebook-mcp](https://github.com/jjsantos01/jupyter-notebook-mcp) 🐍 🏠 - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.
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- [jonahthan433/cortexcloud-mcp](https://github.com/jonahthan433/cortexcloud-mcp) [](https://glama.ai/mcp/servers/jonahthan433/cortexcloud-mcp) 📇 ☁️ - Pay-per-call QUBO/Ising optimization for AI agents: estimate free, solve per run (classical $0.05, hybrid $0.10, quantum $0.85) via x402 (USDC on Base). No API keys. Remote Streamable HTTP at https://api.cortexcloud.org/mcp.
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