Media MCP Server
@rocksun
About Media MCP Server
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"media-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Media MCP Server?
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.
How to use Media MCP Server?
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.
Key features of Media MCP Server
- Built on the FastMCP framework
- Multimedia metadata management
- RESTful API interfaces
- Uploads images to Cloudinary CDN
- Secure URL returned for uploaded images
Use cases of Media MCP Server
- Upload images from local paths or URLs to Cloudinary via MCP
- Integrate image upload into AI agent workflows using MCP tools
- Manage multimedia metadata with a standardized protocol
FAQ from Media MCP Server
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.
How do I configure Cloudinary credentials?
Set the CLOUDINARY_URL environment variable to your Cloudinary connection string, e.g., cloudinary://my_key:my_secret@my_cloud_name.
What dependencies are required to run the server?
The server requires uv and Python. Development dependencies are installed via uv pip install -e .[dev].
Where are uploaded images stored?
Uploaded images are stored on Cloudinary’s content delivery network (CDN), and the server returns the secure URL of the uploaded image.
What transport does the server use?
The server uses standard MCP transport over stdio, as shown in the configuration example using command: "uv" with args for a local directory.
Frequently asked questions
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.
How do I configure Cloudinary credentials?
Set the `CLOUDINARY_URL` environment variable to your Cloudinary connection string, e.g., `cloudinary://my_key:my_secret@my_cloud_name`.
What dependencies are required to run the server?
The server requires `uv` and Python. Development dependencies are installed via `uv pip install -e .[dev]`.
Where are uploaded images stored?
Uploaded images are stored on Cloudinary’s content delivery network (CDN), and the server returns the secure URL of the uploaded image.
What transport does the server use?
The server uses standard MCP transport over stdio, as shown in the configuration example using `command: "uv"` with `args` for a local directory.
Basic information
More Media & Design MCP servers
RustChain MCP
ScottcjnMCP server for RustChain blockchain and BoTTube video platform — AI agent tools for earning RTC tokens. Built on createkr's RustChain SDK.
Weather API MCP Server
TuanKiriA lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. Discuss on Hacker News:
Google Maps
modelcontextprotocolModel Context Protocol Servers
Lamina — On-brand product photos, video & try-ons
LaminaGenerate on brand product videos from Claude Code (or any assistant) in one line. Lamina turns a brief + your brand kit into finished product photos, video reels, and campaign banners - no prompt engineering; brand guard
Spotify MCP Server
marcelmaraisLightweight MCP server for Spotify
Comments