abhiemj/manim-mcp-server
by Various
๐ ๐ ๐ช ๐ง - A local MCP server that generates animations using Manim.
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
manimmcp
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 Manimโs 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 Manimโs 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 Manimโs 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
Pairs with
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