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Videoindexer MCP Server

@benbakhar

Repository

Basic information

Category

Other

Transports

stdio

Author

benbakhar

About Videoindexer MCP Server

MCP server for using the Azure AI Video Indexer API

Videoindexer MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
    }
  }
}

Videoindexer MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Videoindexer Mcp?

Videoindexer Mcp is a Model Context Protocol (MCP) server that provides tools and resources for interacting with Video Indexer APIs. It enables developers to feed LLMs with video insights and automate API interactions.

How to use Videoindexer Mcp?

Clone the repository, create and activate a Python virtual environment, install dependencies with pip install -r requirements.txt, and install the package with pip install -e .. Configure the server with your Video Indexer account token in the VI_ACCOUNT_TOKEN environment variable and run via stdio transport. Invoke the provided tools vi_prompt_content and vi_get_prompt_content through your MCP client.

Key features of Videoindexer Mcp

  • vi_prompt_content: Generate prompt content from video insights
  • vi_get_prompt_content: Retrieve generated prompt content for a video
  • Feed LLMs with video insights
  • Automated API interactions via MCP tools

Use cases of Videoindexer Mcp

  • Feed LLMs with video insights from Video Indexer
  • Automate API interactions for video analysis workflows

Frequently asked questions

1

What does Videoindexer Mcp do?

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

2

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 .`.

3

What environment variables are required?

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

4

What transport does Videoindexer Mcp use?

It uses `stdio` transport as shown in the example configuration.

5

Can I use Videoindexer Mcp with LLMs?

Yes, the server is designed to feed LLMs with video insights via its `vi_prompt_content` and `vi_get_prompt_content` tools.

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