What is the Model Context Protocol (MCP)?
Media MCP Server implements the Model Context Protocol, enabling AI models to interact with multimedia metadata services through standardized tools and resources.
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基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"media-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}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。
Media MCP Server is a professional implementation of the Model Context Protocol server for multimedia metadata management. Built on the FastMCP framework, it provides RESTful API interfaces and integrates with Cloudinary for image upload. It is intended for developers using MCP to handle multimedia metadata.
Install with uv pip install -e ., then run with uv run media-mcp-server. Configure the CLOUDINARY_URL environment variable (e.g. cloudinary://my_key:my_secret@my_cloud_name) in the MCP server configuration. The server exposes an upload_image tool to upload images to Cloudinary.
Media MCP Server implements the Model Context Protocol, enabling AI models to interact with multimedia metadata services through standardized tools and resources.
Set the `CLOUDINARY_URL` environment variable to your Cloudinary connection string, e.g., `cloudinary://my_key:my_secret@my_cloud_name`.
The server requires `uv` and Python. Development dependencies are installed via `uv pip install -e .[dev]`.
Uploaded images are stored on Cloudinary’s content delivery network (CDN), and the server returns the secure URL of the uploaded image.
The server uses standard MCP transport over stdio, as shown in the configuration example using `command: "uv"` with `args` for a local directory.

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