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.
@rocksun
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"media-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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