“Using MCP makes it a first class feature within your AI workflow,” he said. JerryCEO of Twelvelabs. “Developers no longer need to piece together APIs or build custom integrations. For a long time, multimodal doesn't mean multi-models. Nowadays, agents can simply spin up their MCP servers and can search, summarise and infer instantly in just a few hours of video.”
Unlock new use cases
With Twelvelabs MCP Server, you can easily display the AI agent's eyes in video content simply by adding standardized tools to your toolbox. This allows you to unlock new waves of multimodal applications, from smarter virtual assistants who understand recordings to creative generation agents combining video contexts.
By publishing Twelvelabs' video native model, Marengo enables the server via MCP by publishing multimodal embedding and Pegasus for text inference from video.
- Semantic Search: Find accurate moments across video time in natural language.
- Automatic Summary and Q&A: Turn long content or events into concise reports.
- Rug Style Chain: Combine search and analysis tools to build multi-step video workflows.
- Interactive Assistant: An AI agent that works with users in real time to explore videos.
The Twelvelabs MCP server has been validated with Claude Desktop, Cursor, and Goose, and more integrations are coming. Developers can get started in just a few minutes by following the installation guide and connecting to the Twelvelabs API key.
For more information, please go to this blog.
About Twelvelabs
Twelvelabs is the world's most powerful video intelligence platform, allowing you to see, listen and reason machines about videos like humans. From semantic search to automated summaries and multimodal embeddings, Twelvelabs enables developers and businesses to take full advantage of the potential of video data across the industry, including media, advertising, security, and automobiles. For more information, please visit www.twelvelabs.io.
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