How to Use the Met Museum MCP in VS Code Copilot

Q: How do I configure the Met Museum server for my team in VS Code Copilot?

You add the server configuration to your project's .vscode/mcp.json file. Once committed, Copilot Chat accesses tools like listdepartments for everyone on the team.

Q: Can VS Code Copilot fetch images from the Met Museum?

Yes, the getobject tool returns primary image URLs. Copilot extracts these links to help you test image rendering in your frontend components.

Q: Does the Met Museum MCP Server support automated testing in VS Code Copilot?

Yes, Copilot uses listobjects to gather valid IDs for integration tests. This ensures your test suites run against real, active database records.

Q: How do I search for specific art mediums using Copilot?

You ask Copilot to run searchobjects with your medium as the query parameter. The agent returns matching IDs and filters them according to your instructions.

Bring museum collection data into your VS Code Copilot workspace for team-wide development and testing.

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Connect Met Museum MCP to VS Code Copilot

Create your Vinkius account to connect Met Museum to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Met Museum with VS Code Copilot

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Share Met Museum data across your engineering team

The `get_object` tool retrieves complete metadata records for any artwork, which Copilot uses to format mock datasets for your team. Committing this MCP Server configuration to your repo means every developer instantly shares the same data access. Your agent parses the returned JSON to verify image URLs and artist attributions. It keeps your entire team aligned on the data structures your application expects.

Query the Met Museum MCP Server via Copilot Chat

The `search_objects` tool executes queries across the entire art collection directly from your VS Code terminal or chat panel. This MCP Server lets Copilot locate specific test cases using real-world titles and mediums. Instead of manually hunting down object IDs online, you ask Copilot to find them. The agent runs the search, returns the IDs, and writes them into your tests.

Extract catalog structures inside VS Code Copilot

The `list_departments` tool fetches the official department index to map out your application's navigation categories. Copilot reads these names and IDs to build accurate database seed files. Combined with `list_objects`, this tool allows your agent to verify that your application's routing logic aligns with the museum's actual catalog structure. You catch mapping errors before pushing to production.

Setup guide

Set up Met Museum MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Met Museum MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Met Museum tools listed. Try asking: "List my recent Met Museum transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Met Museum MCP in VS Code Copilot

You add the server configuration to your project's `.vscode/mcp.json` file. Once committed, Copilot Chat accesses tools like `list_departments` for everyone on the team.

Yes, the `get_object` tool returns primary image URLs. Copilot extracts these links to help you test image rendering in your frontend components.

Yes, Copilot uses `list_objects` to gather valid IDs for integration tests. This ensures your test suites run against real, active database records.

You ask Copilot to run `search_objects` with your medium as the query parameter. The agent returns matching IDs and filters them according to your instructions.

No, the server only processes public queries, department lists, and object IDs to fetch art metadata. Your proprietary source code and git history remain strictly within your secure enterprise environment.

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