What do I need to use CloudGlue MCP Server?
You need a Cloudglue API Key (obtain from [cloudglue.dev](http://cloudglue.dev)) and an MCP client such as Cursor or Claude Desktop.
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基本信息
Official MCP server for Cloudglue API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cloudglue-mcp-server": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/cloudglue-mcp-server/build/index.js",
"--api-key",
"<CLOUDGLUE-YOUR-API-KEY>"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
CloudGlue MCP Server connects Cloudglue to AI assistants like Cursor and Claude Desktop, enabling video collection understanding by turning videos into structured data ready for LLMs. It is designed for users who want to analyze videos programmatically through the Model Context Protocol.
Install via npx or download the Claude Desktop Extension, then configure with an API key from cloudglue.dev. Pass the API key using the --api-key argument in your MCP client JSON configuration. Once set up, use the available tools (e.g., list_collections, describe_video) to interact with Cloudglue.
You need a Cloudglue API Key (obtain from [cloudglue.dev](http://cloudglue.dev)) and an MCP client such as Cursor or Claude Desktop.
Cloudglue files, YouTube URLs, public HTTP video URLs, and data connector URLs (Dropbox, Google Drive, Zoom). Some tools (e.g., `segment_video_camera_shots`) do not support YouTube URLs.
All tools use page-based pagination with a `page` parameter. Responses include `page` and `total_pages` fields. For `describe_video`, pagination is in 5‑minute segments with optional `start_time_seconds`.
Yes, tools automatically check for existing transcripts, extractions, or segmentations before creating new ones to avoid redundant costs.
Data is processed and stored on Cloudglue’s platform. See the [Privacy Policy](https://cloudglue.dev/privacy) and [Terms of Service](https://cloudglue.dev/terms) for details.
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