
cloudinary mcp server
MCP (Model Context Protocol) server for uploading media to Cloudinary using Claude Desktop
Repository Info
About This Server
MCP (Model Context Protocol) server for uploading media to Cloudinary using Claude Desktop
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Cloudinary MCP Server
This MCP server provides tools for uploading images and videos to Cloudinary through Claude Desktop and compatible MCP clients.
Installation
Requirements: Node.js
- Install Node.js (version 18 or higher) and npm from nodejs.org
- Verify installation:
node --version npm --version
Install using npx (Recommended)
-
Navigate to the Claude configuration directory:
- Windows:
C:\Users\NAME\AppData\Roaming\Claude - macOS:
~/Library/Application Support/Claude/
You can also find these directories inside the Claude Desktop app: Claude Desktop > Settings > Developer > Edit Config
- Windows:
-
Add the following configuration to your MCP settings file:
{
"mcpServers": {
"cloudinary": {
"command": "npx",
"args": ["@felores/cloudinary-mcp-server@latest"],
"env": {
"CLOUDINARY_CLOUD_NAME": "your_cloud_name",
"CLOUDINARY_API_KEY": "your_api_key",
"CLOUDINARY_API_SECRET": "your_api_secret"
}
}
}
}
- Make sure to replace the environment variables with your Cloudinary credentials from the Cloudinary Console.
Developer Installation
If you want to modify the server or contribute to development:
- Clone the repository:
git clone https://github.com/felores/cloudinary-mcp-server.git
cd cloudinary-mcp-server
- Install dependencies and build:
npm install
npm run build
Setup Instructions
-
First, ensure you have a Cloudinary account and get your credentials from the Cloudinary Console:
- Cloud Name
- API Key
- API Secret
-
Add the server configuration to your Claude/Cline MCP settings file:
{
"mcpServers": {
"cloudinary": {
"command": "node",
"args": ["c:/path/to/cloudinary-mcp-server/dist/index.js"],
"env": {
"CLOUDINARY_CLOUD_NAME": "your_cloud_name",
"CLOUDINARY_API_KEY": "your_api_key",
"CLOUDINARY_API_SECRET": "your_api_secret"
}
}
}
}
For Claude desktop app, edit the configuration file at the appropriate location for your OS.
- Install dependencies and build the server:
npm install
npm run build
Available Tools
upload
Upload images and videos to Cloudinary.
Parameters:
file(required): Path to file, URL, or base64 data URI to uploadresource_type(optional): Type of resource ('image', 'video', or 'raw')public_id(optional): Custom public ID for the uploaded assetoverwrite(optional): Whether to overwrite existing assets with the same public IDtags(optional): Array of tags to assign to the uploaded asset
Example usage in Claude/Cline:
use_mcp_tool({
server_name: "cloudinary",
tool_name: "upload",
arguments: {
file: "path/to/image.jpg",
resource_type: "image",
public_id: "my-custom-id"
}
});
Quick Start
Clone the repository
git clone https://github.com/felores/cloudinary-mcp-serverInstall dependencies
cd cloudinary-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.