abhiemj manim mcp server

This is an MCP (Model Context Protocol) server that executes Manim animation code and returns the generated video. It allows users to send Manim scripts and receive the rendered animation.

• Executes Manim Python scripts.
• Saves animation output in a visible media folder.
• Allows users to clean up temporary files after execution.
• Portable and configurable via environment variables.

Ensure you have the following installed:

• Python 3.8+
• Manim (Community Version)
• MCP

pip install manim

pip install mcp

git clone https://github.com/abhiemj/manim-mcp-server.git
cd manim-mcp-server

To integrate the Manim MCP server with Claude, add the following to your claude_desktop_config.json file:

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

To find your Python executable path, use the following command:

(Get-Command python).Source

where python

which python

This ensures that Claude can communicate with the Manim MCP server to generate animations dynamically.

1. Fork the repository.
2. Create a new branch:

   git checkout -b add-feature

3. Make changes and commit:

   git commit -m "Added a new feature"

4. Push to your fork:

   git push origin add-feature

5. Open a pull request.

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Created by abhiemj. Contributions welcome! 🚀

This repository is featured in the Awesome MCP Servers repository under the Animation & Video category. Check it out along with other great MCP server implementations!

• Thanks to the Manim Community for their amazing animation library.
• Inspired by the open-source MCP ecosystem.

@aiburner_official