Can I purge the CDN cache for a specific image using my agent?

Yes. Use the `purge_cdn_cache` tool by providing the fully qualified delivery URL. Your agent will trigger the invalidation at the global Edge nodes and return a Request ID that you can use to track the status.

How do I see technical EXIF data for an uploaded file?

The `get_exif_metadata` tool allows your agent to extract raw structural matching from an image, exposing technical details like focal length, ISO, and camera settings directly in your conversation.

Can I update tags for multiple images at once?

While the `patch_file_details` tool focuses on individual files, your agent can process multiple files sequentially through natural language commands, making it easy to overwrite tags across your media vault.

ImageKit (Media Optimization & DAM) MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: ImageKit (Media Optimization & DAM)
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 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.

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Classic Setup·json

{
  "mcpServers": {
    "imagekit-media-optimization-dam": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 ImageKit (Media Optimization & DAM) MCP Server

Connect your ImageKit account to any AI agent and take full control of your cloud-native media management and real-time image optimization through natural conversation.

GitHub Copilot Agent mode brings ImageKit (Media Optimization & DAM) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Asset Management — List all uploaded visual assets and retrieve detailed metadata, including EXIF data and AI-generated tags directly from your agent
Cache Orchestration — Purge precise URLs from the global Edge CDN nodes and monitor invalidation status to ensure fresh content delivery
Metadata Audit — Extract structural image properties including ISO, focal length, and dimensions to verify file attributes and quality
Content Patching — Update asset tags and custom metadata fields in bulk or individually to maintain an organized digital asset management (DAM) system
Cleanup Operations — Irreversibly delete specific files or perform batch removals to optimize your cloud storage and media library
Custom Schema — Create and list custom metadata fields to extend your project's data structure and map business-specific variables to your assets

The ImageKit (Media Optimization & DAM) MCP Server exposes 10 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 ImageKit (Media Optimization & DAM) to VS Code Copilot via MCP

Follow these steps to integrate the ImageKit (Media Optimization & DAM) 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 ImageKit (Media Optimization & DAM)

Ask Copilot: "Using ImageKit (Media Optimization & DAM), help me...". 10 tools available

Why Use VS Code Copilot with the ImageKit (Media Optimization & DAM) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with ImageKit (Media Optimization & DAM) 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

ImageKit (Media Optimization & DAM) + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the ImageKit (Media Optimization & DAM) 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

ImageKit (Media Optimization & DAM) MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect ImageKit (Media Optimization & DAM) to VS Code Copilot via MCP:

create_custom_schema

Provision a highly-available JSON Payload generating new Resource boundaries

get_exif_metadata

Retrieve the exact structural matching verifying File properties

get_file_details

Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly

get_purge_status

Identify precise active arrays spanning native CDN status

list_custom_fields

Perform structural extraction of properties driving active Extensibility

list_media_files

` listing uploaded visual assets cleanly. Identify bounded routing spaces inside the Headless ImageKit Vault

patch_file_details

Mutate global Web CRM boundaries substituting Draft Document schemas

purge_cdn_cache

Enumerate explicitly attached structured rules exporting active clear layers

wipe_batch_assets

Dispatch an automated validation check routing explicit Disk removals

wipe_media_asset

Irreversibly vaporize explicit App nodes dropping live Database bytes

Example Prompts for ImageKit (Media Optimization & DAM) in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with ImageKit (Media Optimization & DAM) immediately.

"List the last 10 images uploaded to my ImageKit vault"

"Purge the cache for this URL: https://ik.imagekit.io/myproject/header.jpg"

"Show me the focal length and dimensions for file ID 'file_12345'"

Troubleshooting ImageKit (Media Optimization & DAM) MCP Server with VS Code Copilot

Common issues when connecting ImageKit (Media Optimization & DAM) 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.

ImageKit (Media Optimization & DAM) + VS Code Copilot FAQ

Common questions about integrating ImageKit (Media Optimization & DAM) 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.