Kubrick Multimodal Agents Course
An open-source educational course and codebase teaching developers how to build production-ready multimodal AI agents that process images, video, audio, and text via a unified MCP server built with FastMCP, Groq LLMs, and Pixeltable memory.
Best When
When you want a structured, hands-on curriculum for building multimodal AI agents and understanding MCP server implementation patterns.
Avoid When
When you need a production MCP server you can deploy immediately without modification or learning overhead.
Use Cases
- • Learning how to architect and build multimodal MCP servers from scratch
- • Understanding agentic memory with Pixeltable for stateful AI applications
- • Building video intelligence applications with search exposed via MCP tools
- • Implementing LLMOps observability with Opik for agent tracing
- • Hands-on practice with FastMCP, Groq, and OpenAI integrations
Not For
- • Production deployments — this is a learning resource, not a production-ready service
- • Teams looking for a ready-to-use MCP server (requires significant setup and customization)
- • Beginners with no prior Python or AI agent experience
Alternatives
Full Evaluation Report
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Package Brief
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Score Monitoring
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Scores are editorial opinions as of 2026-03-01.