How to Use the GaggleAMP MCP in Google ADK

Q: How does GaggleAMP work with Google ADK for member rankings?

The server provides gettopadvocates as a callable tool. Your agent can query this to generate leaderboards that you can display in your internal employee portals.

Q: Can I use GaggleAMP to manage rewards within Google ADK?

Yes. You can query listavailablerewards to see what to offer and redeemrewarditem to process the transaction. It keeps your rewards program tied to your agent logic.

Integrate GaggleAMP advocacy data into your Google ADK enterprise workflows for smarter social reach.

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Connect GaggleAMP MCP to Google ADK

Create your Vinkius account to connect GaggleAMP 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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Setup GaggleAMP with Google ADK

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Sync advocacy data in Google ADK

Connect your advocacy program to your broader Google Cloud infrastructure. You can use `list_all_gaggles` to pull current campaigns and pipe that data into your existing BigQuery tables for deeper analysis. Your agents can now reason over your social performance alongside your other enterprise datasets. It turns raw engagement numbers into actionable business intelligence.

Program scale with Google ADK

Invite new advocates without manual intervention by using `invite_new_advocate`. Your agent can process sign-up requests from your internal portals and add them to the correct group instantly. This keeps your member list updated without human data entry. You maintain consistent program growth while keeping your focus on strategy rather than admin tasks.

Direct activity creation

Push new content prompts to your employees using `create_activity`. Your agent acts as the bridge between your marketing calendar and the advocacy platform, ensuring tasks are deployed on schedule. Because this is an MCP Server, the tool definitions are clear and typed. Your agent knows exactly what parameters are required to launch a new campaign successfully.

Setup guide

Set up GaggleAMP 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

Install Google ADK

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

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

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 GaggleAMP 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="GaggleAMP_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GaggleAMP tools via MCP.",
    tools=mcp_tools,
)

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Common questions about GaggleAMP MCP in Google ADK

Absolutely. Use the McpToolset class to connect the server. It supports standard HTTP and Stdio transports, making it a natural fit for your existing Google Cloud architecture.

The server provides `get_top_advocates` as a callable tool. Your agent can query this to generate leaderboards that you can display in your internal employee portals.

Yes. You can query `list_available_rewards` to see what to offer and `redeem_reward_item` to process the transaction. It keeps your rewards program tied to your agent logic.

You can run the server locally and point your agent to the local URL. Vinkius provides the endpoint, so you can test your logic before moving to production.

Your advocacy data is ephemeral and transit-only. The server acts as a thin layer between your agent and the GaggleAMP API, meaning no persistent storage of your employee data occurs on the server itself.

Use it with your favorite AI tools

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