Overview
What is Videoindexer MCP?
Videoindexer MCP is a Model Context Protocol (MCP) server designed to facilitate interaction with the Azure AI Video Indexer API, providing tools and resources for developers.
How to use Videoindexer MCP?
To use Videoindexer MCP, clone the repository, set up a Python virtual environment, install the required dependencies, and configure the server with your Video Indexer account token.
Key features of Videoindexer MCP?
- Generate prompt content from video insights using
vi_prompt_content - Retrieve generated prompt content for a video with
vi_get_prompt_content
Use cases of Videoindexer MCP?
- Feeding large language models (LLMs) with insights derived from videos.
- Automating interactions with the Video Indexer API for enhanced video processing.
FAQ from Videoindexer MCP?
- What is the purpose of Videoindexer MCP?
It serves as a server to interact with the Azure AI Video Indexer API, enabling developers to utilize video insights effectively.
- How do I install Videoindexer MCP?
Follow the installation steps provided in the documentation, including cloning the repository and setting up a Python virtual environment.
- Can I use Videoindexer MCP without an Azure account?
No, you need a valid Azure Video Indexer account token to use the features of Videoindexer MCP.