Manim-Slides MCP Server
Enables AI agents to generate, execute, and compile interactive Manim slide presentations through MCP tools.
README
Manim-Slides MCP Server
A robust Model Context Protocol (MCP) server that empowers AI agents to generate, orchestrate, and compile interactive presentations with manim-slides.
Overview
While traditional AI coding assistants can write Manim code, executing that code and structuring it into a readable presentation format has remained a manual process. This MCP server bridges the gap by providing AI clients (like Claude Desktop, Cursor, or Antigravity) with direct tools to:
- Execute Manim Scripts: Dynamically run generated Manim code safely.
- Handle Slides Orchestration: Natively support the
Slideclass for presentation logic. - Compile Presentations: Convert rendered animations into interactive HTML presentations (Reveal.js) directly from the AI prompt.
Features
- Direct Code Execution: Send Python code containing Manim
Slideclasses; the server handles temporary file creation, execution, and cleanup. - Error Feedback Loop: Captures standard output and runtime exceptions, feeding them back to the AI for autonomous debugging.
- HTML/Reveal.js Export: Seamlessly compiles the generated video assets into a fully functional interactive web presentation.
- State Management: Persists generated media in structured workspace directories for easy access.
Prerequisites
Ensure your system has the following installed:
- Python 3.10+
- Manim Community Edition (Requires FFmpeg and LaTeX)
- Manim-Slides
Installation
git clone https://github.com/yourusername/mcp-manim-slides.git
cd mcp-manim-slides
# Create a virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Configuration
To integrate this server with an MCP-compatible client (e.g., Claude Desktop), add the following to your client configuration JSON:
{
"mcpServers": {
"manim-slides-server": {
"command": "/absolute/path/to/mcp-manim-slides/.venv/bin/python",
"args": [
"/absolute/path/to/mcp-manim-slides/src/server.py"
],
"env": {
"WORKSPACE_DIR": "/path/to/your/output/directory"
}
}
}
}
Available MCP Tools
render_slide(code: str, slide_name: str): Executes the provided Manim code and renders the specific slide.compile_presentation(slide_name: str, format: str): Compiles the generated slide assets into the specified format (e.g.,html).get_presentation_status(): Retrieves the status of the current working directory and existing slide assets.
License
This project is licensed under the MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.