Manim MCP
by wstcpyt
A Docker-based environment for creating mathematical animations with Manim, featuring both a CLI interface and a web API with Model Context Protocol (MCP) support for AI assistants.
Last updated: N/A
Manim MCP
License: Apache 2.0
Docker
Manim
API
A Docker-based environment for creating mathematical animations with Manim, featuring both a CLI interface and a web API with Model Context Protocol (MCP) support for AI assistants.
š Overview
This project provides:
- Containerized Manim Environment: Run Manim in an isolated, reproducible Docker environment
- Web API: Create and manage Manim animations via HTTP requests
- MCP Integration: Direct interaction with AI assistants like Claude
- File Management: Upload scripts and download generated animations
š Quick Start
Prerequisites
- Docker and Docker Compose installed on your system
Installation
Option 1: Use the Prebuilt Image (Recommended)
Simply pull the prebuilt image from Docker Hub:
docker pull wstcpyt/manim-docker-mcp:latest
Then run it with docker-compose:
docker compose up -d
Option 2: Build Locally
-
Clone the repository:
git clone https://github.com/YOUR_USERNAME/manim-docker-mcp.git cd manim-docker-mcp
-
Build the Docker images:
docker compose build
Usage
CLI Mode
Create a Python file in the animations
directory (see example below), then run:
docker compose run manim -pql animations/example.py ExampleScene
API Mode
Start the API server:
docker compose up -d manim-api
Access the API documentation at http://localhost:8000/docs
š¬ Creating Animations
Basic Example
Create a file animations/example.py
:
from manim import *
class CircleToSquare(Scene):
def construct(self):
circle = Circle()
circle.set_fill(BLUE, opacity=0.5)
square = Square()
square.set_fill(RED, opacity=0.5)
self.play(Create(circle))
self.wait()
self.play(Transform(circle, square))
self.wait()
Running the Animation
# CLI mode with preview (-p), low quality (-ql)
docker compose run manim -pql animations/example.py CircleToSquare
# API mode
curl -X POST "http://localhost:8000/run-manim?filepath=/manim/temp/circle_example.py&scene_name=CircleToSquare&quality=low_quality"
š Project Structure
manim-docker-mcp/
āāā animations/ # Manim animation scripts
āāā app/ # FastAPI application
āāā media/ # Generated animations (CLI mode)
āāā output/ # Generated animations (API mode)
āāā temp/ # Temporary files
āāā uploads/ # Uploaded animation scripts
āāā Dockerfile # Docker image definition
āāā docker-compose.yml # Docker Compose configuration
āāā README.md # This file
š§ Configuration
Quality Settings
| Flag | Resolution | Frame Rate | Best For |
|------|------------|------------|----------|
| -ql
| 480p | 15fps | Quick previews |
| -qm
| 720p | 30fps | General use |
| -qh
| 1080p | 60fps | Presentations |
| -qk
| 1440p | 60fps | Production videos |
Other Useful Flags
-p
: Preview the output file-t
: Transparent background--save_last_frame
: Render only the last frame-c COLOR
: Set background color
š API Documentation
Core Endpoints
List Files
GET /list-files?directory=/manim
Write File
POST /write-file?filepath=/manim/temp/example.py
Run Animation
POST /run-manim?filepath=/manim/temp/example.py&scene_name=CircleToSquare
Download Animation
GET /download-file?filepath=/media/videos/example/480p15/CircleToSquare.mp4
Full API documentation is available at the /docs
endpoint.
š¤ AI Assistant Integration (MCP)
This project supports the Model Context Protocol (MCP), enabling AI assistants to:
- Create Manim scripts based on natural language descriptions
- Run animations and provide download links
- Browse and manage generated media files
Example MCP session:
User: Create an animation showing a circle morphing into a square
AI: I'll create that for you...
š Advanced Usage
Custom LaTeX
The container includes a minimal LaTeX installation. Custom LaTeX can be used in animations:
formula = MathTex(r"\int_{a}^{b} f(x) \, dx = F(b) - F(a)")
self.play(Write(formula))
Mounting Custom Directories
Modify the docker-compose.yml
file to mount additional directories:
volumes:
- ./my_custom_dir:/manim/custom
š ļø Troubleshooting
Common Issues
- Docker not running: Make sure Docker daemon is running
- Permission errors: The container needs write access to mounted volumes
- Missing media: Check the correct output directory (media/ for CLI, output/ for API)
Getting Help
If you encounter issues:
- Check the Manim documentation
- Search existing GitHub issues
- Create a new issue with details about your problem
š License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
š Acknowledgements
- Manim Community for the amazing animation engine
- FastAPI for the web framework
- Model Context Protocol for AI integration