minbang930 Youtube Vision MCP

WHAT IT CONNECTS

minbang930 Youtube Vision MCP 为 AI Agent 提供什么

• Analyzes YouTube videos using the Gemini Vision API.
• Provides multiple tools for different interactions:
• General description or Q&A (`ask_about_youtube_video`)
• Summarization (`summarize_youtube_video`)
• Key moment extraction (`extract_key_moments`)
• Lists available Gemini models supporting `generateContent`.
• Configurable Gemini model via environment variable.
• Communicates via stdio (standard input/output).
• **Node.js:** Version 18 or higher recommended. You can download it from [nodejs.org](https://nodejs.org/).
• **Google Gemini API Key:** Obtain your API key from [Google AI Studio](https://aistudio.google.com/app/apikey) or Google Cloud Console.
• **Clone the repository:**
• **Install dependencies:**
• **Build the project:**
• **Configure and run:**
• `GEMINI_API_KEY` (Required): Your Google Gemini API key.
• `GEMINI_MODEL_NAME` (Optional): The specific Gemini model to use (e.g., `gemini-1.5-flash`). Defaults to `gemini-2.0-flash`. **Important:** For production or commercial use, ensure you select a model version that is not marked as "Experimental" or "Preview".
• **Input:**
• `youtube_url` (string, required): The URL of the YouTube video.
• `question` (string, optional): The specific question to ask about the video. If omitted, a general description is generated.
• **Output:** Text containing the answer or description.
• **Input:**
• `youtube_url` (string, required): The URL of the YouTube video.
• `summary_length` (string, optional): Desired summary length ('short', 'medium', 'long'). Defaults to 'medium'.
• **Output:** Text containing the video summary.
• **Input:**
• `youtube_url` (string, required): The URL of the YouTube video.
• `number_of_moments` (integer, optional): Number of key moments to extract. Defaults to 3.
• **Output:** Text describing the key moments with timestamps.
• **Input:** None
• **Output:** Text listing the supported model names.
• **Model Selection for Production:** When using this server for production or commercial purposes, please ensure the selected `GEMINI_MODEL_NAME` is a stable version suitable for production use. According to the [Gemini API Terms of Service](https://ai.google.dev/gemini-api/terms), models marked as "Experimental" or "Preview" are not permitted for production deployment.
• **API Terms of Service:** Usage of this server relies on the Google Gemini API. Users are responsible for reviewing and complying with the [Google APIs Terms of Service](https://developers.google.com/terms/) and the [Gemini API Additional Terms of Service](https://ai.google.dev/gemini-api/terms). Note that data usage policies may differ between free and paid tiers of the Gemini API. Do not submit sensitive or confidential information when using free tiers.
• **Content Responsibility:** The accuracy and appropriateness of content generated via the Gemini API are not guaranteed. Use discretion before relying on or publishing generated content.