Videoindexer Mcp

Video Indexer MCP Server

A Model Context Protocol (MCP) server that provides tools and resources for interacting with Video Indexer APIs.

Features

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

Use Cases

• feed LLMs with video insights
• Automated API interactions

example config

{
  "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"
    }
  }
}

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

Installation

1. Clone the repository
2. Create and activate a Python virtual environment:

# Create virtual environment
python -m venv mcp-env

# Activate virtual environment
# On Windows:
mcp-env\Scripts\activate
# On Unix or MacOS:
source mcp-env/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Install the package:

pip install -e .

5. To deactivate the virtual environment when you're done:

deactivate