Videoindexer MCP

🚀 Video Indexer MCP Server

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

🚀 Quick Start

The Video Indexer MCP Server is a powerful tool for interacting with the Video Indexer API. It offers functions to generate and retrieve prompt content from video insights, and can be used in various scenarios such as providing video insights for brand LLMs and automating API interactions.

✨ Features

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

💻 Usage Examples

Basic Usage

The server can be used in different scenarios, here are some common ones:

• Provide video insights for brand LLMs.
• Automate API interactions.

Advanced Usage

Here is an example configuration for running the 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"
    }
  }
}

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 a virtual environment
python -m venv mcp-env

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

3. Install the dependencies:

pip install -r requirements.txt

4. Install the package:

pip install -e .

5. Deactivate the virtual environment when done:

deactivate