Videoindexer MCP MCP Server

MCP server for using the Azure AI Video Indexer API

Local serverstdioPython

What is the Videoindexer MCP MCP server?

Connect Videoindexer MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. MCP server for using the Azure AI Video Indexer API. The videoindexer mcp mcp server is what makes that connection.

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

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • vi_prompt_content — Generate prompt content from video insights
  • vi_get_prompt_content — Get the generated prompt content for a video
  • Features — The Features tool exposed by this server

Credentials and setup notes

Configuration is passed through the environment: VI_ACCOUNT_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Where it fits

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Videoindexer MCP's toolset — vi_prompt_content, vi_get_prompt_content, Features — is a fair guide to whether it matches your workflow. It is maintained by benbakhar; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
vi_prompt_contentGenerate prompt content from video insights
vi_get_prompt_contentGet the generated prompt content for a video
FeaturesThe Features tool exposed by this server.

How to install the Videoindexer MCP MCP server

{
  "mcpServers": {
    "videoindexer-mcp": {
      "command": "/path/to/videoindexer-mcp/bin/python",
      "args": [
        "/path/to/your/videoindexer-mcp/src/main.py",
      ],
      "env": {
        "VI_ACCOUNT_TOKEN": "<your_video_indexer_account_token>",
      },
      "transportType": "stdio"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
VI_ACCOUNT_TOKENCredential 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.