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

MCP server for creating math animations with manim, enabling AI-driven real-time interactive creation and browser preview.

MCP server that generates 3Blue1Brown-style math videos with Manim and AI voiceover directly inside Claude Desktop.

An MCP server that enables creating and rendering Manim animations by building scenes with code sections and generating MP4 videos.

Enables Claude to create mathematical animation videos using Manim, allowing visualization of complex mathematical concepts like equations, graphs, geometric transformations, and calculus through programmatically generated animations.

Enables compilation and serving of Manim animations through natural language. Supports compiling Manim Python code into videos and downloading the generated animations with secure authentication.

Enables creating Manim animations via natural language commands using DeepSeek API, with a RAG system for Manim documentation retrieval.

A server-based tool that enables the generation of mathematical animations from natural language prompts by leveraging Manim.

Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables LLM agents to generate labeled contact sheets of Manim animations, scaffold storyboards from renders, and validate rendered steps against expected intents via MCP tools.

Provides automated data visualization and analysis tools that intelligently select from over 40 chart types based on data structure and patterns. It enables users to generate statistical insights, interactive dashboards, and professional reports in HTML, PNG, and Word formats.

Enables generating and editing mathematical animations via natural language, with support for multi-agent pipeline, RAG-based code generation, and parallel audio narration.

Provides exact arithmetic and verification tools using SymPy and fractions to solve math competition problems precisely. It enables users to perform rigorous calculations and export notebook-ready Python code for further analysis.

Provides a safe scientific runtime for agents with typed math operations including calculus, algebra, statistics, unit conversion, and more via MCP tools.

Enables AI agents to generate, execute, and compile interactive Manim slide presentations through MCP tools.

A secure MCP server for evaluating mathematical expressions with grammar validation, function whitelisting, and sandboxed execution. It provides tools for expression evaluation, variable management, and resources for grammar and function documentation.

A Model Context Protocol server that provides basic mathematical and statistical functions to LLMs, enabling them to perform accurate numerical calculations through a simple API.

Provides LLMs with deterministic math tools for sandboxed expression evaluation, descriptive statistics, primality testing, prime factorization, GCD/LCM, quadratic solving, and base conversion. Every operation runs real code rather than relying on the model's arithmetic, with expression parsing restricted to a whitelist of operators, constants, and functions.

Enables coding agents to establish exact-release library identity, search provenance-tracked API, docs, example, source, and release evidence, compare releases, and test proposed invocations in isolated capsules for Rust and Python dependency environments.

Provides secure mathematical computation capabilities including expression evaluation, symbolic math (derivatives, simplification), matrix operations, statistics, and unit conversion, with multi-tier acceleration through WebAssembly and WebWorkers for high-performance calculations.