TwelveLabs is an MCP server that connects Model Context Protocol clients to the TwelveLabs video understanding and multimodal AI platform. It allows AI assistants, autonomous agents, and developers to interact directly with video analysis, semantic search, and content comprehension tools through a standardized communication protocol. Developers, content managers, and media analysts use this server to automate the extraction of insights from long-form video archives, footage collections, and recorded streams without building manual video ingestion workflows. By exposing TwelveLabs platform capabilities via MCP, connected language models can query video content using natural language, locate specific visual actions or spoken dialogue across video libraries, and generate structured summaries based on multimodal inputs. The server mediates requests between MCP-compatible environments such as Claude Desktop or custom agents and TwelveLabs cloud services, enabling natural language assistants to reason over visual, audio, and conversational elements within video media. This bridge eliminates the need for manual video tagging and enables real-time search across vast multimedia databases through simple conversational prompts.
Obtain your official API key and authentication credentials directly from your TwelveLabs platform account dashboard. 2. Review the setup documentation provided by the TwelveLabs server maintainer to identify the recommended command and execution arguments. 3. Locate and open your MCP client configuration file, such as claude_desktop_config.json for Claude Desktop or the corresponding settings file for Cursor. 4. Add a new server entry for TwelveLabs inside the mcpServers configuration object, specifying the server command, arguments, and required TwelveLabs API key in the environment variables. 5. Save your configuration file changes and restart your MCP client application to establish the connection and verify that the video tools are loaded.
What you can do with TwelveLabs
Searching video archives using natural language queries to pinpoint specific scenes, actions, or dialogue without manually scrubbing through footage. * Generating automated chapter summaries, highlights, and contextual descriptions from recorded webinars, lectures, or conference presentations. * Analyzing video catalogs to detect recurring objects, brand placements, or visual elements across multiple media files. * Extracting multimodal insights from surveillance, sports, or entertainment clips to support automated reporting and categorization workflows. * Querying video databases through Claude to quickly locate relevant B-roll footage for video editing and content creation projects.
MCP KQL Server — MCP KQL Server is an MCP server that connects AI assistants to Azure Data Explorer clusters using Azure CLI authentication.…
MCP Jupyter Complete — MCP Jupyter Complete is an MCP server that provides tools for manipulating Jupyter notebook files through position-based cell operations and…
MCP MD2PDF Server — MCP MD2PDF Server is an MCP server that enables automated conversion of Markdown documents into formatted PDF files with full…
MCP Media Processing Server — MCP Media Processing Server is an MCP server that connects AI assistants like Claude Desktop to local media manipulation utilities,…
MCP Music Analysis — MCP Music Analysis is an MCP server that enables AI clients like Claude to inspect and process sound recordings using…
MCP OCR Server — MCP OCR Server is an MCP server that provides optical character recognition capabilities by connecting language models directly to the…
What is TwelveLabs?
TwelveLabs is an artificial intelligence platform specialized in multimodal video understanding. The platform extracts semantic meaning from video streams by analyzing visual actions, audio, spoken text, and objects, enabling machines and language models to comprehend and search video content natively.
What can TwelveLabs do via MCP?
Through the Model Context Protocol, the server allows AI clients like Claude to execute semantic video searches, retrieve video metadata, generate descriptive summaries, and locate specific timestamps or visual moments across indexed video collections using conversational prompts.
Which MCP clients work with TwelveLabs?
The TwelveLabs MCP server works with any client that implements the Model Context Protocol specification. Compatible clients include Claude Desktop, Cursor, and custom agentic frameworks configured to communicate with external MCP servers over standard input and output channels.
How do I configure TwelveLabs for Claude Desktop?
To configure the server for Claude Desktop, obtain your API credentials from TwelveLabs, then register the server details within the Claude Desktop configuration file. After updating the configuration with the required execution settings, restart Claude Desktop to load the tools.