Duolingo MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Duolingo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"duolingo": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Duolingo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Duolingo through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Duolingo MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Duolingo via MCP
Why Use LangChain with the Duolingo MCP Server
LangChain provides unique advantages when paired with Duolingo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Duolingo MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Duolingo queries for multi-turn workflows
Duolingo + LangChain Use Cases
Practical scenarios where LangChain combined with the Duolingo MCP Server delivers measurable value.
RAG with live data: combine Duolingo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Duolingo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Duolingo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Duolingo tool call, measure latency, and optimize your agent's performance
Duolingo MCP Tools for LangChain (8)
These 8 tools become available when you connect Duolingo to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Duolingo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDuolingo + LangChain FAQ
Common questions about integrating Duolingo MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.