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How to Use the Mockaroo MCP in VS Code Copilot

Share Mockaroo data generation tools across your entire engineering team using VS Code Copilot.

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VS Code Copilot

Connect Mockaroo MCP to VS Code Copilot

Create your Vinkius account to connect Mockaroo 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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Team-wide test seeding with VS Code Copilot

`generate_mock_data` standardizes mock data generation across your entire team. By checking in a shared config, every developer gets instant access to Mockaroo's generation engine. Your agent calls the MCP Server to build localized JSON mock files. This eliminates the drift that happens when developers write their own inconsistent mock scripts.

Sync saved schemas with your local workspace

`generate_from_schema` pulls production-grade schemas straight from your centralized Mockaroo account into VS Code Copilot. Your agent matches these schemas against your active branch's code. Using the MCP to call `list_schemas`, the agent verifies that you are using the correct version of the schema. This keeps your automated integration tests aligned with your staging environments.

Verify field types inside your editor

`list_field_types` displays all valid Mockaroo generators directly inside your VS Code Copilot chat panel. Your agent references this list to build accurate data generation prompts without syntax errors. If your team relies on custom seed files, `list_datasets` lets the agent target those specific CSVs. You get highly specific, contextual data instead of generic lorem ipsum text.

Setup guide

Set up Mockaroo 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. 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. 2

    Add the Mockaroo 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. 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. 4

    Verify the connection

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

.vscode/mcp.json
{
  "mcpServers": {
    "mockaroo-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mockaroo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mockaroo MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the Mockaroo server details. When your teammates open the project in VS Code, Copilot automatically registers the tools.
Yes, your agent can run `generate_mock_data` to fetch raw records and then format them as SQL insert statements directly in your active editor window.
You pass your API key as an environment variable or argument in the `mcp.json` configuration. Vinkius handles the secure MCP connection, so individual developers don't have to manage raw credentials.
Yes, the `list_datasets` tool allows your agent to see what custom CSV or JSON files you have uploaded to your Mockaroo account.
All API requests to Mockaroo are routed through Vinkius's zero-trust sandboxed environment. Your schema structures and generated mock data are never stored, logged, or used for AI training.

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