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How to Use the Zealy MCP in Google ADK

Build enterprise Zealy automations using your Google ADK agent, connecting to BigQuery data sources.

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…and any MCP-compatible client

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Google ADK

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.

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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`.

Setup guide

Set up Zealy MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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.

agent.py
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

The MCP Server exposes all Zealy's functions directly to your Google ADK agent. This lets you write complex, multi-step processes that act on live community data without leaving Google Cloud.
It handles basic user details and social handles via `get_user` and `search_users`. This information is crucial for calculating leaderboards and managing rewards in your BigQuery environment.
Yes. You can call `list_reviews` to retrieve claimed quests waiting for review, which you then approve or reject using `review_submission`. This keeps your data clean.
You can list all existing objectives using `list_quests` and update them when necessary with `update_quest`. You also have the option to set up new mysteries via `create_secret`.
You can ban a user using `ban_user`, or you can remove earned XP with `remove_xp`. These actions are direct and immediately reflected on the Zealy platform.

Start using the Zealy MCP today

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