How to Use the Duolingo MCP in VS Code Copilot

Q: How do I share the Duolingo MCP server with my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it. Anyone on your team using VS Code 1.96 or newer will automatically load the MCP tools in Copilot.

Share Duolingo stats and build translation tools with your team using VS Code Copilot.

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Connect Duolingo MCP to VS Code Copilot

Create your Vinkius account to connect Duolingo 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 Duolingo with VS Code Copilot

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Deploy the Duolingo MCP Server Team-Wide

The `get_user_by_username` tool gets profile statistics, active languages, and total XP directly within your shared workspace. By committing the configuration to your repository, every developer on your team instantly gains access to these user metrics. When building team dashboards, `get_user_by_id` lets Copilot fetch profile structures using immutable numeric IDs. This ensures your shared codebase uses consistent data models across different development environments.

Build Translation Tools with Live Hints

The `get_dictionary_hints` tool provides translation pairs for word tokens directly to VS Code Copilot. Your team can use this MCP tool to quickly check localized strings and generate test dictionaries during collaborative coding sessions. To check API compatibility across different locales, `get_version_info` returns the active version metadata. This keeps your team aligned on supported language codes without leaving the editor.

Access Shop Inventory and Leaderboards

The `get_store_items` tool gets available item names, descriptions, and prices from the shop. Copilot can format this inventory list into markdown tables to help your team design mock store interfaces. For social features, `get_daily_leaderboard` and `get_friends` get live rankings and friend activity. This lets you build and test leaderboard components using actual user data instead of static mock files.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Duolingo MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it. Anyone on your team using VS Code 1.96 or newer will automatically load the MCP tools in Copilot.

No, the server only performs read operations on your progress. Tools like `get_user_by_username` only fetch data and cannot write changes back to your profile.

Basic lookup tools work without credentials. You only need to supply an account token if you want to retrieve private profiles or detailed shop inventories.

We recommend setting up a local cache to prevent hitting rate limits during heavy testing. The tools will return cached responses instead of hitting the live endpoints repeatedly.

Your authentication tokens are kept in your local environment or user-level configuration files. They are never committed to your shared repository, keeping your XP, streak, and profile data completely secure.

Use it with your favorite AI tools

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