Bring Art History
to VS Code Copilot
Create your Vinkius account to connect The Met Museum to VS Code Copilot and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the The Met Museum MCP Server?
Connect to The Met Museum and explore one of the world's largest art collections through natural conversation — no API key needed.
What you can do
- Artwork Search — Search 470,000+ artworks by artist name, title, culture, medium or any term
- Artwork Details — Get full metadata including title, artist, date, medium, dimensions, credit line and images
- Department Browse — Explore artworks by department (European Paintings, Egyptian Art, Asian Art, etc.)
- Highlights — Discover curator-selected highlights from the collection
- On-View Objects — Find artworks currently displayed in the museum galleries
- Date Range Search — Filter artworks by century or specific date ranges
- Image Discovery — Find artworks with Open Access CC0 images
How it works
- Subscribe to this server
- No API key needed — all data is open access
- Start exploring art from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Art Enthusiasts — discover artworks, explore artists and learn about art history
- Educators — use artwork metadata and images for teaching and presentations
- Researchers — analyze art collections, provenance and cultural heritage data
Built-in capabilities (8)
Useful for filtering searches by department (e.g. European Paintings, Egyptian Art, Asian Art, Arms and Armor). Get all museum departments
Returns title, artist, culture, date, medium, dimensions, credit line, repository URL, image URLs and more. All Open Access images are CC0 public domain. Get detailed info for a specific artwork by object ID
Use get_departments first to find the department ID. Returns list of object IDs which can be used with get_object for full details. Get all object IDs for a specific department
Returns object IDs which can be used with get_object for full artwork details including images. Search for objects created in a specific century
These represent some of the most significant and popular works in the collection. Search for highlighted (curator-selected) objects
Supports filtering by department, date range, medium, images, highlights and on-view status. Returns object IDs which can be used with get_object for full details. Search The Met collection for artworks
Useful for planning museum visits. Search for objects currently on view in the museum
Useful for finding visual artworks. Supports all standard search filters plus has_images=true. Search for objects that have images
Why VS Code Copilot?
GitHub Copilot Agent mode brings The Met Museum 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.
- —
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
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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
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
The Met Museum in VS Code Copilot
Why run The Met Museum with Vinkius?
The The Met Museum connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect The Met Museum using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
The Met Museum and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect The Met Museum to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
The Met Museum for VS Code Copilot
Every request between VS Code Copilot and The Met Museum is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Do I need an API key?
No! The Met Museum API is completely free and open. No authentication required. 80 requests/second rate limit.
Can I use the artwork images commercially?
Yes! Open Access images are licensed under CC0 (Public Domain). You can use them for any purpose without restriction.
How many artworks are in the collection?
The Met collection includes 470,000+ artworks spanning 5,000 years of art history from every part of the globe.
What departments are available?
The Met has 20+ departments including: European Paintings, Egyptian Art, Asian Art, Arms and Armor, Greek and Roman Art, Islamic Art, Modern and Contemporary Art, and many more. Use get_departments to see the full list.
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.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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