How to Use the Zealy MCP in Google ADK
Build enterprise Zealy automations using your Google ADK agent, connecting to BigQuery data sources.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zealy MCP to Google ADK
Create your Vinkius account to connect Zealy 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.
Manage community progress and rewards.
The `add_xp` tool lets you manually boost a user's XP count. For disciplinary issues, the agent executes `ban_user`. If you need to remove points after an error, run `remove_xp` immediately. You also get total control over content structure using `create_quest`, deploying new objectives instantly.
Set up complex Zealy workflows with MCP Server.
Need to collect information? Use `get_community` to pull basic details about the overall community structure. You can also configure API connections using `create_webhook`, ensuring data flows where it needs to go. The agent keeps track of all webhooks for you, letting you list or delete them with simple calls like `list_webhooks`.
Monitor community health and activity.
To understand who's active, the `get_leaderboard` tool pulls data based on sprints or all time. You can also use `search_users` to find people using only their social handles. If you need background details, call `list_modules`. The agent makes sure you never lose track of community secrets; just run `list_secrets`.
Set up Zealy 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 Zealy 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="Zealy_agent",
model="gemini-2.0-flash",
instruction="You have access to Zealy 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 Zealy. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Zealy MCP in Google ADK
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