How to Use the Duolingo MCP in Google ADK
Feed Duolingo leaderboard and profile data into your Google ADK pipelines for long-context Gemini analytics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Duolingo MCP to Google ADK
Create your Vinkius account to connect Duolingo to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Analyze Duolingo Streaks with Google ADK
`get_user_by_username` and `get_user_by_id` pull complete Duolingo profile statistics, including streaks and total XP, directly into your Google ADK agent. This lets your Gemini models analyze long-term learning patterns over hundreds of previous sessions. It's built for deep analysis. You can feed this raw profile data directly into BigQuery tables. The Google ADK agent uses these statistics to run predictive models on user churn. You get real data instead of vague guesses.
Run Multi-Language Queries with this MCP Server
`get_dictionary_hints` and `get_version_info` allow your Google ADK agent to resolve Duolingo translation pairs and check supported language codes. This setup gives your Gemini model the exact vocabulary data it needs to build custom translation pipelines. It handles complex multi-language tasks easily. The underlying MCP Server runs in a zero-trust sandbox, keeping your translation queries isolated. You can restrict which tools are exposed to the Google ADK agent using the built-in tool filter. This keeps your enterprise pipelines clean.
Export Friend Lists using Google ADK
`get_friends` and `get_leaderboard` extract Duolingo social connections, XP totals, and tier rankings for any public profile. Your Google ADK agent can process these large friend networks within Gemini's million-token context window. It handles massive datasets without breaking a sweat. The agent maps these social structures to identify top-performing cohorts. All of this happens over a secure stream, using a single MCP Server connection token managed by Vinkius.
Set up Duolingo MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Duolingo tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Duolingo_agent",
model="gemini-2.0-flash",
instruction="You have access to Duolingo tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Duolingo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Duolingo MCP in Google ADK
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