TwelveLabs, a leader in multimodal video intelligence, has announced the launch of its Model Context Protocol (MCP) Server. For the first time, this server allows AI assistants and agents to understand and interact with video data at a large scale. The TwelveLabs MCP Server acts as a universal adapter, bridging the company's video understanding models with popular AI clients, such as Claude Desktop, Cursor, and Goose, through a plug-and-play interface.
TwelveLabs has launched the Model Context Protocol (MCP) Server to enable AI agents to understand video data.
The server acts as a universal adapter, connecting TwelveLabs' models to AI clients like Claude Desktop, Cursor, and Goose.
It is built on the open MCP standard, simplifying integration for developers.
The platform unlocks capabilities such as semantic search, automatic summaries, and Q&A for video content.
The server exposes TwelveLabs' video-native models, Marengo for embeddings and Pegasus for video-to-text reasoning.
The goal is to make video a first-class capability within any AI workflow.
The MCP Server addresses a significant challenge for developers who previously had to "stitch together APIs or build custom integrations" to enable AI applications to work with video. The new server simplifies this process, allowing developers to give their AI applications video "superpowers" through a standardized tool. By connecting with AI clients, the MCP Server allows agents to instantly search, summarize, and reason over hours of video footage. As Jae Lee, CEO at TwelveLabs, stated, "With MCP, video becomes a first-class capability inside any AI workflow. Developers no longer need to stitch together APIs or build custom integrations. Our view for a long time has been that multi-modal shouldn't mean multi-model. Now, agents can instantly search, summarize, and reason over hours of video, just by spinning up our MCP server."
By exposing its advanced video-native models, Marengo and Pegasus, the TwelveLabs MCP Server enables a new wave of multimodal applications. These include smarter virtual assistants that can understand meeting recordings and creative generative agents that can incorporate video context into their outputs. The server's capabilities allow for fine-grained interactions with video content, such as finding specific moments with natural language queries, turning long-form videos into concise reports, and building multi-step video workflows. This technology positions TwelveLabs at the forefront of the AI landscape, empowering developers and enterprises to unlock the full potential of video data across various industries.
TwelveLabs is the world's most powerful video intelligence platform, enabling machines to see, hear, and reason about video like humans do. From semantic search to automated summaries and multimodal embeddings, TwelveLabs empowers developers and enterprises to unlock the full potential of video data across industries including media, advertising, security, and automotive.
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