Duolingo MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Duolingo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Duolingo Assistant",
instructions=(
"You help users interact with Duolingo. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Duolingo"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Duolingo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Duolingo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Duolingo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Duolingo
Why Use OpenAI Agents SDK with the Duolingo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Duolingo through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Duolingo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Duolingo MCP Server delivers measurable value.
Automated workflows: build agents that query Duolingo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Duolingo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Duolingo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Duolingo to resolve tickets, look up records, and update statuses without human intervention
Duolingo MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Duolingo to OpenAI Agents SDK via MCP:
get_daily_leaderboard
Shows top users by XP for the current day. Optionally specify language code and timezone. Get daily leaderboard for a language
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
get_friends
Optionally provide a user ID. Returns friend usernames, IDs, streaks and XP totals. Get Duolingo friends list
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
get_store_items
Requires authentication for full details. Returns item IDs, names, prices and descriptions. Get Duolingo store items
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
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
get_version_info
Useful for understanding available language codes and API capabilities. Get Duolingo API version information
Example Prompts for Duolingo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Duolingo immediately.
"Show me the Duolingo profile for user 'john_doe'."
"Get translation hints for 'hello', 'world', 'cat' from English to Spanish."
"Who is on the Spanish leaderboard today?"
Troubleshooting Duolingo MCP Server with OpenAI Agents SDK
Common issues when connecting Duolingo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Duolingo + OpenAI Agents SDK FAQ
Common questions about integrating Duolingo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Duolingo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Duolingo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.