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407,711 tools. Last updated 2026-08-07 05:48

"Manim - Python Library for Animations and Math Visualization" matching MCP tools:

  • Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.
    MIT
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Render multiple Manim scenes concurrently and concatenate them into a single video with AI voiceover. Auto-corrects common issues such as wrong TTS service or MathTex.
    MIT
  • Evaluate mathematical or statistical expressions safely using Python syntax. Supports arithmetic, list operations, and math functions with custom variables.
    GPL 3.0
  • Evaluate mathematical expressions with arbitrary precision arithmetic. Supports basic operations, comparisons, and math library functions like sqrt, sine, cosine, and log.
    MIT

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  • Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

  • Compute precise results of mathematical expressions using Python math syntax and numpy. Analyze financial data with accurate calculations for improved decision-making in financial analysis.
    Python
    MIT
  • Evaluate Python expressions for arithmetic and statistical computations using pre-loaded math and statistics functions.
    MIT
  • Generate GSAP utility code for math operations, range mapping, and DOM helpers. Use for interpolation, clamping, wrapping, snapping, and scoped selection.
  • Debug GSAP animations by generating visualization markers, logging timeline progress, or slowing down animations. Use modes like visualize, log, slowmo, and labelDump to inspect and troubleshoot timeline behavior during development.
  • Evaluate mathematical expressions and perform statistical calculations using Python syntax. Supports arithmetic operations, math functions, and custom variables for cryptocurrency data analysis.
    GPL 3.0
  • Evaluate mathematical and statistical expressions using Python syntax. Supports arithmetic, list operations, and math/stat functions with custom variables.
    GPL 3.0
  • Reports installed backends (Whisper, SAM, Manim, Blender, FFmpeg) and system readiness for education vs GPU paths.
    MIT
  • Execute Python code for data science tasks like web scraping, data analysis, visualization, and machine learning with automatic library management.
    MIT
  • Run arbitrary Python code within Blender to handle advanced tasks beyond standard tools, using bpy, mathutils, and math, with results in a 'result' variable.
    MIT
  • Process AntV-related queries by identifying, parsing, and structuring user requirements for visualization tasks. Extracts topics, detects intent, and prepares structured data for precise solutions.
    MIT
  • Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.
    MIT
  • Render a video or image from a library example by providing new variable values, keeping the original layout and animations intact. Returns job ID and reusable template ID.
    MIT
  • Fetch a library example's render-ready project JSON with adaptation map and contract. Swap copy and media while preserving layout and animations.
    MIT
  • Get a transaction's graph structure for visualization and relationship analysis. Input protocol and hash to receive detailed transaction data.
    AGPL 3.0