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abhiemj/manim-mcp-server

by Various

๐Ÿ ๐Ÿ  ๐ŸชŸ ๐Ÿง - A local MCP server that generates animations using Manim.

A

MCP

abhiemj/manim-mcp-server

Added 1 June 2026

Overview

A local MCP server that generates animations using Manim, a Python library for mathematical animation. It exposes Manim's capabilities through the Model Context Protocol, allowing AI assistants to create animations programmatically.

Best for

Best for
Developers and educators who want to generate Manim animations through AI assistants

Use cases

  • Generate mathematical animations from natural language descriptions
  • Create educational video content programmatically via AI assistants
  • Automate animation rendering for data visualization or presentations

How to use

Install

pip install manim mcp

Tools exposed

  • manim
  • mcp

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n     "manim-server": {\n      "command": "/absolute/path/to/python",\n      "args": [\n        "/absolute/path/to/manim-mcp-server/src/manim_server.py"\n      ],\n      "env": {\n        "MANIM_EXECUTABLE": "/Users/[Your_username]/anaconda3/envs/manim2/Scripts/manim.exe"\n      }\n    }\n  }\n}

Notes

A local MCP server that generates animations using Manim, a Python library for mathematical animation. It exposes Manimโ€™s capabilities through the Model Context Protocol, allowing AI assistants to create animations programmatically.

597 stars on GitHub. Last updated 2025-05-19. Licensed MIT.

Use cases

  • Generate mathematical animations from natural language descriptions
  • Create educational video content programmatically via AI assistants
  • Automate animation rendering for data visualization or presentations

Pros

  • Leverages Manimโ€™s powerful animation engine for high-quality output
  • Integrates with AI tools through the standard MCP interface
  • Open source with active community (597 stars)

Cons

  • Requires local setup and Python environment management
  • Limited to Manimโ€™s rendering capabilities and performance
  • Dependent on MCP-compatible clients for full utility

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages Manim's powerful animation engine for high-quality output
  • Integrates with AI tools through the standard MCP interface
  • Open source with active community (597 stars)

Cons

  • Requires local setup and Python environment management
  • Limited to Manim's rendering capabilities and performance
  • Dependent on MCP-compatible clients for full utility
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