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Duolingo MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Duolingo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "duolingo": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Duolingo Agent",
    instructions:
      "You help users interact with Duolingo " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Duolingo?"
  );
  console.log(result.text);
}

main();
Duolingo
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Duolingo MCP Server

Connect to Duolingo and explore language learning progress through natural conversation — no API key needed for public data.

Mastra's agent abstraction provides a clean separation between LLM logic and Duolingo tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • User Profiles — View any user's public profile including XP, streak, language and skill progress
  • Version Info — Get API version info including supported languages and features
  • Dictionary Hints — Get translation hints between any two supported languages
  • Store Items — Browse Duolingo store items like streak freezes and power-ups
  • Leaderboards — View leaderboard rankings by XP for users and languages
  • Friends — See a user's friends list with their streaks and XP

The Duolingo MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Duolingo to Mastra AI via MCP

Follow these steps to integrate the Duolingo MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Duolingo via MCP

Why Use Mastra AI with the Duolingo MCP Server

Mastra AI provides unique advantages when paired with Duolingo through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Duolingo without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Duolingo tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Duolingo + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Duolingo MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Duolingo, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Duolingo as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Duolingo on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Duolingo tools alongside other MCP servers

Duolingo MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Duolingo to Mastra AI via MCP:

01

get_daily_leaderboard

Shows top users by XP for the current day. Optionally specify language code and timezone. Get daily leaderboard for a language

02

get_dictionary_hints

Returns translation pairs for the given tokens. Useful for building flashcards or vocabulary tools. Target and source are language codes (e.g. "es", "fr", "de", "en"). Get dictionary hints for word translations

03

get_friends

Optionally provide a user ID. Returns friend usernames, IDs, streaks and XP totals. Get Duolingo friends list

04

get_leaderboard

Optionally provide a user ID to get leaderboard info for a specific user. Returns rankings with usernames, XP totals and positions. Get Duolingo leaderboard data

05

get_store_items

Requires authentication for full details. Returns item IDs, names, prices and descriptions. Get Duolingo store items

06

get_user_by_id

Returns the same data as get_user_by_username but uses the numeric ID instead. Get a Duolingo user profile by user ID

07

get_user_by_username

Returns username, user ID, avatar, current language, total XP, streak, skills and progress. Note: Full profile data (detailed progress, skill trees) requires authentication and only works for your own account. Get a Duolingo user profile by username

08

get_version_info

Useful for understanding available language codes and API capabilities. Get Duolingo API version information

Example Prompts for Duolingo in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Duolingo immediately.

01

"Show me the Duolingo profile for user 'john_doe'."

02

"Get translation hints for 'hello', 'world', 'cat' from English to Spanish."

03

"Who is on the Spanish leaderboard today?"

Troubleshooting Duolingo MCP Server with Mastra AI

Common issues when connecting Duolingo to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Duolingo + Mastra AI FAQ

Common questions about integrating Duolingo MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Duolingo to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.