Getty Images MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
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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{
"mcpServers": {
"getty-images": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Getty Images MCP Server
Connect your Getty Images account to any AI agent and take full control of your stock media research and asset procurement through natural conversation.
GitHub Copilot Agent mode brings Getty Images 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
- Stock Media Orchestration — Search over 500M editorial and creative images to retrieve asset IDs, titles, and preview URLs natively within your chat
- Creative Discovery — Identify bounded creative images pre-filtered for commercial, advertising, and marketing use flawlessly
- Editorial Auditing — Search across news, sports, entertainment, and archival photography to track specific historical events and global trends synchronousy
- Video Library Management — Browse stock video libraries and retrieve duration, aspect ratio, and available resolution metadata securely
- Visual Similarity Search — Find visually similar assets by providing source IDs to discover related compositions and aesthetic patterns natively
- Lightbox Collection Oversight — List and manage your Lightbox collections to organize selected assets across different projects limitlessly
- Asset Procurement — Execute direct download mutations to consume corporate quota limits and retrieve high-resolution download URLs securely
The Getty Images 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 Getty Images to VS Code Copilot via MCP
Follow these steps to integrate the Getty Images 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 Getty Images
Ask Copilot: "Using Getty Images, help me...". 10 tools available
Why Use VS Code Copilot with the Getty Images MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Getty Images 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
Getty Images + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Getty Images 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
Getty Images MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Getty Images to VS Code Copilot via MCP:
download_image
Returns download URL and consumes corporate quota limits. Pass asset ID. Download a Getty image
get_image
Get full details of a Getty image
get_images_batch
Get details for multiple Getty images at once
get_similar
Find visually similar Getty images
get_video
Get full details of a Getty video
list_collections
List your Getty lightbox collections
search_creative
Search Getty creative (commercial-use) images only
search_editorial
Not for commercial use. Search Getty editorial images
search_images
Returns asset IDs, titles, captions, preview URLs. Pass phrase and page. Search Getty Images stock photos
search_videos
Search Getty stock videos
Example Prompts for Getty Images in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Getty Images immediately.
"Search for creative images of 'modern sustainable architecture'"
"Find visually similar images to asset '12345678'"
"List my Getty lightboxes"
Troubleshooting Getty Images MCP Server with VS Code Copilot
Common issues when connecting Getty Images to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Getty Images + VS Code Copilot FAQ
Common questions about integrating Getty Images MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.Connect Getty Images with your favorite client
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Connect Getty Images to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.