How to Use the Umami Cloud MCP in VS Code Copilot

Q: How is Umami Cloud configured in VS Code Copilot?

You define the server details in .vscode/mcp.json within your project root. This commits the configuration to the repo, making it available for every team member using Copilot Chat in Agent mode.

Standardize Umami Cloud analytics tools across your team using VS Code Copilot.

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Connect Umami Cloud MCP to VS Code Copilot

Create your Vinkius account to connect Umami Cloud 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 Umami Cloud with VS Code Copilot

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Team access to active user counts via MCP Server.

Need every developer on the team to have access to live site metrics? By committing the Umami Cloud configuration to `.vscode/mcp.json`, you make the `users` tool universally available. Everyone gets the same, reliable data source. Copilot Chat can then use this MCP Server definition to pull real-time active user counts right into your code or documentation within VS Code.

Pull detailed site metrics using Umami Cloud.

The `websites` tool gives deep visibility into traffic, detailing OS, browser, and device information. This is critical for engineering teams building cross-platform features. Since the configuration lives in the repository, every developer can use this data analytics capability without needing separate onboarding or local setup.

Managing Umami Cloud via MCP Server.

The ability to commit the server definition means all team members are working with the same version of the tool. This ensures consistency when generating code that relies on analytics data. This centralized, repeatable setup makes your engineering processes reliable and highly manageable for an organization-wide rollout.

Setup guide

Set up Umami Cloud 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 Umami Cloud 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 Umami Cloud tools listed. Try asking: "List my recent Umami Cloud transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Umami Cloud MCP in VS Code Copilot

You define the server details in `.vscode/mcp.json` within your project root. This commits the configuration to the repo, making it available for every team member using Copilot Chat in Agent mode.

You can pull two main types of data: a simple count of active users via `users`, or detailed metrics like URLs, browsers, OS, and device information using the `websites` tool.

This MCP Server touches web analytics data. Specifically, it reads non-PII traffic details such as active user counts, URLs accessed, and technical markers like browser/OS information.

Absolutely. Because the MCP configuration is committed to the repository (`.vscode/mcp.json`), it guarantees that every single developer on your team has immediate, standardized access to Umami Cloud.

Yes. The purpose of committing this server is to ensure the live analytics data used by Copilot Chat in Agent mode is consistent and ready to inform your final, production-ready codebase.

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