booklife
claudeReading life management powered by BookLife MCP - track books, manage library loans, sync reading status across Hardcover and Libby
5 commands
0
claude
math-physics-ml
GPU-accelerated MCP system for computational mathematics, quantum physics simulations, molecular dynamics, and neural network training
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Plugin math-physics-ml from marketplace andy-marketplace in andylbrummer/andy-marketplace. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (6)
mathSymbolic mathematics and numerical computing via the Math MCP. Use when: solving algebraic equations symbolically, computing derivatives or integrals, matrix operations and linear algebra, fast Fourier transforms (FFT), numerical optimization.
molecularMolecular dynamics simulations and particle systems via the Molecular MCP. Use when: creating particle systems, running classical MD simulations (NVE, NVT, NPT ensembles), analyzing trajectories, computing radial distribution functions (RDF) or mean squared displacement (MSD).
neuralNeural network training and deep learning experiments via the Neural MCP. Use when: defining network architectures, loading and preparing datasets, training models with various optimizers, evaluating model performance.
quantumQuantum mechanics and wave simulations via the Quantum MCP. Use when: creating and simulating quantum potentials, generating wave packets (Gaussian, plane waves), solving the time-dependent Schrodinger equation, analyzing wavefunctions and observables.
math-physics-ml-setup-mcpInstall Math-Physics-ML MCP servers with intelligent detection - supports local installation, slop-mcp, or standard Claude configuration
superpredictorProbabilistic forecasting and reasoning under uncertainty via the Superpredictor MCP. Use when: Bayesian probability updates with new evidence, Fermi estimation, aggregating multiple forecasts or expert opinions, tracking predictions and measuring calibration.
Slash commands (10)
/math-physics-ml:deriveCompute symbolic derivatives of mathematical expressions
/math-physics-ml:fermiPerform Fermi estimation by decomposing questions into estimable factors
/math-physics-ml:fftPerform Fast Fourier Transform on data
/math-physics-ml:infoGet information about available scientific computing tools
/math-physics-ml:integrateCompute symbolic integrals (definite or indefinite)
/math-physics-ml:md-simRun a molecular dynamics simulation
/math-physics-ml:predictMake probabilistic predictions with Bayesian reasoning and market comparison
/math-physics-ml:quantum-simRun a quantum mechanics simulation (Schrodinger equation)
/math-physics-ml:solveSolve mathematical equations symbolically or numerically
/math-physics-ml:trainTrain a neural network model
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claudeMCP server for symbolic algebra and GPU-accelerated numerical computing with SymPy, NumPy, and optional CuPy
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claudeMCP server for probabilistic forecasting with Bayesian updates, Fermi estimation, prediction markets, and calibration tracking
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llm-mcp
claudeMCP server for LLM training, fine-tuning, and experimentation with GPT and Mamba architectures
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molecular-mcp
claudeMCP server for classical molecular dynamics simulations with GPU acceleration
1 skill · 3 commands
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neural-mcp
claudeMCP server for neural network training and experimentation with PyTorch
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