Kaltura FAQs

Question 1

What configuration formats are supported?

Accepted Answer

The Kaltura MCP Server supports both YAML and JSON configuration formats, providing flexibility for different user preferences and system setups.

Question 2

How can I install and run the Kaltura MCP Server?

Accepted Answer

You can install and run the Kaltura MCP Server using Docker (either a pre-built image or building with Docker Compose) or through a manual installation process with Python. Detailed instructions are provided in the repository's README.

Question 3

What tools are available through the Kaltura MCP Server?

Accepted Answer

The server provides tools for media management (upload, get, update, delete), category management (list, get, add, update, delete), and user management (list, get, add, update, delete), enabling comprehensive control over your Kaltura content.

Question 4

What can AI models do with the Kaltura MCP Server?

Accepted Answer

AI models can upload media, retrieve and update metadata, search for content, manage categories, and handle user permissions within the Kaltura platform, all through a consistent interface.

Question 5

What is the Kaltura MCP Server?

Accepted Answer

The Kaltura MCP Server is an implementation of the Model Context Protocol that allows AI models to interact with and manage media content within the Kaltura platform. It provides a standardized way for AI to access Kaltura's API.

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