Duolingo MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Duolingo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Duolingo "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Duolingo?"
)
print(result.data)
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.
Pydantic AI validates every Duolingo tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic 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 Pydantic AI via MCP
Follow these steps to integrate the Duolingo MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Duolingo with type-safe schemas
Why Use Pydantic AI with the Duolingo MCP Server
Pydantic AI provides unique advantages when paired with Duolingo through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Duolingo integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Duolingo connection logic from agent behavior for testable, maintainable code
Duolingo + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Duolingo MCP Server delivers measurable value.
Type-safe data pipelines: query Duolingo with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Duolingo tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Duolingo and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Duolingo responses and write comprehensive agent tests
Duolingo MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Duolingo to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Duolingo to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDuolingo + Pydantic AI FAQ
Common questions about integrating Duolingo MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.