How to Use the Fomo MCP in Google ADK

Q: How do I initialize the Fomo MCP Server in Google ADK?

Install google-adk and configure StreamableHttpServerParameters with your Fomo URL. Pass this into McpToolset and assign it to the tools array of your LlmAgent.

Q: Can Google ADK restrict which Fomo tools the agent uses?

Yes. You can use the toolnames filter in the ADK setup. If you only want the agent to read data, restrict it to listevents and gettemplate while blocking createevent.

Q: How does Fomo work with Gemini's long context window?

Your agent can pull the entire output of listpushmessages and listtemplates into a single prompt. It analyzes your entire notification history at once to recommend better social proof strategies.

Q: Will the agent automatically fix broken Fomo events?

If you give it permission, the agent uses getevent to find malformed notifications and updateevent to correct them. It relies on Gemini's reasoning to match the event data against your BigQuery records.

Connect Fomo to Google ADK to trigger social proof events from your BigQuery data.

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Connect Fomo MCP to Google ADK

Create your Vinkius account to connect Fomo 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 Fomo with Google ADK

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BigQuery to Fomo Event Pipelines

The `create_event` tool connects your Google Cloud data directly to your storefront's social proof feed via MCP. Your Gemini agent can pull a massive dataset of recent transactions from BigQuery, process the context, and push individual purchase notifications to Fomo. Because Gemini handles millions of tokens, your agent can evaluate a week's worth of `list_events` history in a single prompt. It identifies patterns in your e-commerce notifications and uses `update_event` to adjust the timing of your live pop-ups based on actual conversion data.

Google ADK Template Management

Your enterprise agent manages your notification designs using `list_templates` and `create_template`. When marketing updates a campaign in Google Workspace, the agent reads the brief and generates corresponding Fomo templates automatically. You pass the Fomo MCP Server through the `McpToolset` class in your Python environment. The agent then calls `get_template` to verify the new messaging structure before it pushes any live events, keeping your brand voice consistent across your e-commerce site.

Ecosystem Integration Audits

Use `list_integrations` to let your Gemini agent map out exactly which external tools are feeding into your Fomo account. It cross-references this list against your Vertex AI pipelines to find gaps in your data collection. The agent can also query `get_application_info` and `list_push_messages` to audit your account's output. If an active integration starts failing, the agent detects the anomaly in the event feed and alerts your team via your standard Google Cloud monitoring setup.

Setup guide

Set up Fomo 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 Fomo 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="Fomo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fomo tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fomo. 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 Fomo MCP in Google ADK

Install `google-adk` and configure `StreamableHttpServerParameters` with your Fomo URL. Pass this into `McpToolset` and assign it to the `tools` array of your `LlmAgent`.

Yes. You can use the `tool_names` filter in the ADK setup. If you only want the agent to read data, restrict it to `list_events` and `get_template` while blocking `create_event`.

Your agent can pull the entire output of `list_push_messages` and `list_templates` into a single prompt. It analyzes your entire notification history at once to recommend better social proof strategies.

If you give it permission, the agent uses `get_event` to find malformed notifications and `update_event` to correct them. It relies on Gemini's reasoning to match the event data against your BigQuery records.

The MCP server only touches e-commerce transaction summaries and template configurations. It runs in an ephemeral, zero-trust container that terminates the connection the moment the tool execution finishes, leaving no persistent access to your Google Cloud environment.

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