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TwelveLabs provides advanced video indexing, search, and analysis capabilities, allowing users to create and manage video content efficiently. It is ideal for media professionals and content creators looking to enhance their video management workflows.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Domain knowledge for Twelvelabs — workflow patterns, data models, and gotchas for your AI agent.
TwelveLabs provides AI-powered video understanding capabilities that enable sophisticated video content management and analysis. The platform excels at making video content searchable through natural language descriptions and visual entity recognition.
Video Indexing & Management: Create and organize video indexes, upload videos for processing, and track indexing task status. Videos must be indexed before they become searchable or analyzable.
Natural Language Video Search: Search through video content using conversational queries. The platform interprets descriptions like "person wearing a red shirt" or "outdoor scene with mountains" to find relevant video segments.
Entity-Based Search: Create collections of people or objects, upload reference images, and search for specific entities across your video library. Useful for finding appearances of particular individuals or branded objects.
Video Analysis & Embeddings: Generate detailed video embeddings and perform in-depth video analysis using TwelveLabs' AI models. Embeddings enable advanced similarity matching and content understanding.
Videos are organized within indexes (containers for related content). Entity collections group related people/objects with reference images for visual search. Tasks track async operations like indexing and embedding generation.
Videos require indexing before search/analysis capabilities become available. Monitor task status to ensure processing completion. The platform provides sample videos for testing and exploration. Natural language queries work best with descriptive, specific language rather than technical video metadata terms.
TwelveLabs provides advanced video indexing, search, and analysis capabilities, allowing users to create and manage video content efficiently. It is ideal for media professionals and content creators looking to enhance their video management workflows. It provides tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/twelvelabs-mcp. Authentication is handled automatically.
Twelvelabs uses API Key. Twelvelabs requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Twelvelabs to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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