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"
}
});
Recommend MCP Servers 💡
aws-cost-explorer-mcp-server
An MCP server that integrates with AWS Cost Explorer and CloudWatch Logs to provide natural language access to AWS spend and Bedrock model invocation data, enabling users to analyze and visualize their cloud costs through an interactive interface like Claude Desktop.
thirdweb-mcp
An MCP server integrating thirdweb's blockchain tools (Nebula, Insight, Engine, etc.) with MCP clients.
ks-mcp-server
The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.
mailgun
An MCP server implementation for Mailgun APIs, enabling AI clients to interact with Mailgun services like sending emails and fetching statistics.
apisix-mcp
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
google_workspace_mcp
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks & Drive with AI - Comprehensive Google Workspace MCP Server