How do I install Videoindexer Mcp?

Clone the repository, create a Python virtual environment, activate it, then run `pip install -r requirements.txt` followed by `pip install -e .`.

What environment variables are required?

You must set the `VI_ACCOUNT_TOKEN` environment variable to your Video Indexer account token.

What credentials does it need?

It reads `VI_ACCOUNT_TOKEN` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Videoindexer MCP Server

MCP server for using the Azure AI Video Indexer API

Local serverstdioPython

What is the Videoindexer MCP Server?

MCP server for using the Azure AI Video Indexer API

What the server does

Replace /path/to/videoindexer-mcp with the actual path to your videoindexer-mcp directory.

vi_prompt_content: Generate prompt content from video insights
vi_get_prompt_content: Get the generated prompt content for a video

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
vi_prompt_content	Generate prompt content from video insights
vi_get_prompt_content	Get the generated prompt content for a video

Configuration

Variable	Description	Required
VI_ACCOUNT_TOKEN	Credential the server authenticates with.	Yes

Example prompts to try

“Use Videoindexer MCP to vi prompt content.”
“Use Videoindexer MCP to vi get prompt content.”
“Use Videoindexer MCP to Features.”

Frequently asked questions

It provides MCP tools to interact with Video Indexer APIs, specifically to generate and retrieve prompt content from video insights.

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