Duolingo MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Duolingo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Duolingo. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Duolingo?"
)
print(response)
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.
LlamaIndex agents combine Duolingo tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Duolingo MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Duolingo MCP Server
LlamaIndex provides unique advantages when paired with Duolingo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Duolingo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Duolingo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Duolingo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Duolingo tools were called, what data was returned, and how it influenced the final answer
Duolingo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Duolingo MCP Server delivers measurable value.
Hybrid search: combine Duolingo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Duolingo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Duolingo for fresh data
Analytical workflows: chain Duolingo queries with LlamaIndex's data connectors to build multi-source analytical reports
Duolingo MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Duolingo to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Duolingo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDuolingo + LlamaIndex FAQ
Common questions about integrating Duolingo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.