Can I see my bandwidth usage for this month?

Yes! Use the `get_cloudinary_usage_report` tool. The agent will return core usage statistics, including current bandwidth and storage utilization compared to your plan limits.

How do I find all images tagged with 'summer'?

Use the `search_media_library` tool with an expression like `tags:summer`. Your agent will fetch all matching resources directly from your library.

Where do I find my Cloudinary API Secret and Cloud Name?

Log in to your Cloudinary Console. You can find your Cloud Name, API Key, and API Secret on the **Dashboard** main page under 'Account Details'.

Cloudinary MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

Name: Cloudinary
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Cloudinary and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "cloudinary": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cloudinary MCP Server

Connect your Cloudinary account to any AI agent and take full control of your media library through natural conversation. Streamline how you manage, optimize, and distribute images and videos natively.

GitHub Copilot Agent mode brings Cloudinary data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Resource Oversight — List and retrieve details for all media resources including public IDs, formats, and secure URLs natively
Usage Intelligence — Access core usage and quota reports for storage, bandwidth, and transformations flawlessly
Asset Logistics — Monitor tags, folders, and transformations used across your media library securely
Search Management — Perform advanced searches using complex expressions to find specific assets instantly flawlessly
Automation Logistics — List configured upload presets to ensure consistent asset ingestion flawlessly
Content Control — Permanently delete unwanted media resources directly from your chat interface flawlessly

The Cloudinary MCP Server exposes 8 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cloudinary to VS Code Copilot via MCP

Follow these steps to integrate the Cloudinary MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Cloudinary

Ask Copilot: "Using Cloudinary, help me...". 8 tools available

Why Use VS Code Copilot with the Cloudinary MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Cloudinary through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Cloudinary + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Cloudinary MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Cloudinary MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Cloudinary to VS Code Copilot via MCP:

delete_media_resource

Permanently delete a media resource from the cloud

get_cloudinary_usage_report

Retrieve core usage and quota information (Storage, Bandwidth, Transformations)

get_media_resource_details

Get detailed information for a specific media resource

list_media_resources

List all media resources (images, videos) in the cloud

list_media_tags

List all tags used in the media library

list_media_transformations

List all named and dynamic transformations

list_upload_presets

List all configured upload presets

search_media_library

Search for resources using a search expression

Example Prompts for Cloudinary in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Cloudinary immediately.

"List all images in my Cloudinary library."

"What is my current Cloudinary storage usage?"

"Search for all MP4 videos uploaded in the last 24 hours."

Troubleshooting Cloudinary MCP Server with VS Code Copilot

Common issues when connecting Cloudinary to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Cloudinary + VS Code Copilot FAQ

Common questions about integrating Cloudinary MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.