Discover formula categories from Wikidata, BioModels, and SciPy to narrow down formula searches by category.
Apache 2.0
457,802 tools. Updated 2026-08-14 17:39
"SciPy" matching MCP tools:
- Install the MNE-Python analysis backend on demand to enable all MNE tools without a restart. Select from ica, analysis, or full profiles.MIT
- List available formula categories from local library or legacy sources like Wikidata and BioModels to organize mathematical formulas.Apache 2.0
- Execute Python or JavaScript in a secure, isolated sandbox to test code, verify calculations, or transform data, and receive stdout/stderr output.MIT
- Retrieve accurate scientific formulas from Wikidata, BioModels, and SciPy. Search by name or domain to get equations with LaTeX and SymPy representations.Apache 2.0
- Search the local formula library to retrieve accurate mathematical and physical formulas by keyword or domain.Apache 2.0
Matching MCP Servers
- Alicense-qualityDmaintenanceProvides advanced mathematical calculation capabilities including symbolic algebra, numerical computing, data analysis, and image processing through SymPy, NumPy, SciPy, and pandas integration.3MIT
- FlicenseAqualityAmaintenanceA read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.3
- Retrieve detailed formula information from the local library or legacy sources. Optionally load the formula into an active derivation session for step-by-step symbolic computation.Apache 2.0
- Optimize portfolio weights using Efficient Frontier analysis. Choose method to maximize Sharpe ratio, minimize volatility, or target specific return or volatility.MIT
- Load a mathematical expression into the current session to enable symbolic derivation and transformation. Provide expression, optional ID, and source.Apache 2.0
- List physical constants from SciPy CODATA 2018, including values, units, and uncertainty. Search by keyword or filter by category such as fundamental, electromagnetic, atomic, or conversion.Apache 2.0
- Rank candidate formulas and operations for a mathematical derivation by relevance to the goal and current expression, returning ordered suggestions to advance the derivation.Apache 2.0
- Checks MNE-Python and dependency versions (scikit-learn, numpy, scipy, matplotlib) plus runtime directories to confirm the MNE-MCP environment is ready for neurophysiology data analysis.MIT
- Generate a 3D isosurface from scattered volumetric data to highlight regions where a scalar value lies within a specified threshold. Use for pollution concentration, isotherms, or groundwater surfaces.MIT
- Render a 3D volume from scattered scalar field samples to visualize interior distributions like pollution or temperature, with configurable opacity and iso-surfaces.MIT
- Retrieve complete formula details from Wikidata, BioModels, or SciPy by ID, including LaTeX, SymPy expressions, variable definitions, units, and source URLs.Apache 2.0
- Get detailed summary statistics for any column, auto-detecting its type to compute metrics like five-number summary, outlier count, mode, or date range.MIT
- Generates an interactive 3D streamtube plot of vector field trajectories, encoding flow magnitude via tube diameter. Visualize wind corridors, ocean currents, or magnetic field lines from grid data.MIT
- Start a mathematical derivation by describing a goal in natural language. Get a derivation plan, recommended formulas, and next steps.Apache 2.0
- Run constrained optimization on Excel cell references: adjust variable cells to minimize or maximize an objective expression, with optional constraints and bounds.MIT
- Run Python code to transform, aggregate, or generate charts from data frames, with variables and imports persisting between calls. Pass frame handles to recover data after kernel timeouts.