TwelveLabs MCP Server
MCP server from Twelve Labs that brings video intelligence capabilities to AI assistants. Enables semantic video search, automatic summarization, Q&A over video content, and embedding generation through a standardized MCP interface. Agents can index videos, find specific scenes using natural language, generate concise summaries, and build RAG workflows that chain search and analysis. Powered by the Marengo embeddings model and Pegasus video language model. Compatible with Claude Desktop, Cursor, Windsurf, Goose, and other MCP clients.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | twelvelabs-mcp |
Use Cases
| 01 | Search through hours of video footage using natural language queries to find specific moments, scenes, or visual content via AI assistants connected to TwelveLabs |
| 02 | Generate automatic video summaries and answer questions about video content through AI assistants using TwelveLabs Pegasus video language model via MCP |
| 03 | Build retrieval-augmented generation workflows where AI agents first search for relevant video clips then analyze and synthesize findings into reports using chained TwelveLabs MCP tools |
Tags
video-intelligence video-search summarization embeddings multimodal rag media
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>