How to Use the FunnelCockpit MCP in Google ADK

Q: How do I configure FunnelCockpit with the Google ADK?

Initialize McpToolset with your Vinkius HTTP endpoint URL. Pass this toolset into the LlmAgent constructor to give Gemini direct access to your marketing tools.

Q: Can I restrict which FunnelCockpit tools the Google ADK agent can access?

Yes, you can use the toolnames filter in the toolset configuration. This lets you limit the agent to harmless tools like listfunnels while blocking writing tools.

Q: How does this MCP Server handle large CRM contact lists?

The agent calls listcontacts to retrieve CRM records. Gemini's million-token context window allows it to analyze the entire list in a single turn without running out of memory.

Q: Can my agent update a contact's custom fields?

Use updatecontact to pass a JSON string of field-value pairs via the MCP Server. The agent modifies specific CRM fields based on the latest lead behavior tracked in Google Cloud.

Run Gemini agents that connect BigQuery data directly to FunnelCockpit using the Google ADK MCP Server.

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Connect FunnelCockpit MCP to Google ADK

Create your Vinkius account to connect FunnelCockpit 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 FunnelCockpit with Google ADK

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Sync BigQuery leads to your MCP Server

The `create_contact` tool inserts fresh leads directly into your marketing CRM based on database changes. Your Gemini agent queries your BigQuery warehouse, identifies high-intent leads, and triggers the contact creation process. Using the Google ADK, you pass the `McpToolset` directly to your agent. The model's long-context window allows it to process thousands of database rows at once before writing them to the CRM.

Map pages using Google ADK and Gemini

The `list_funnels` tool retrieves active funnel structures so your agent can analyze user flow. The agent calls `list_pages` to inspect individual landing page configurations and `get_funnel` to read the exact step sequence. This integration lets Gemini evaluate your landing page setup against historical conversion data. The agent identifies drop-off points and suggests immediate layout adjustments based on actual campaign structures.

Monitor live sequences with this MCP Server

The `list_campaigns` tool retrieves active marketing sequences to align your Google Cloud data with your CRM. The agent uses `get_account` to verify account limits and profile details before starting large sync jobs. To prevent API failures, the agent runs `check_funnelcockpit_status` before processing batch operations. This step ensures the target marketing platform is responsive before the agent attempts to modify records.

Setup guide

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

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Common questions about FunnelCockpit MCP in Google ADK

Initialize `McpToolset` with your Vinkius HTTP endpoint URL. Pass this toolset into the `LlmAgent` constructor to give Gemini direct access to your marketing tools.

Yes, you can use the `tool_names` filter in the toolset configuration. This lets you limit the agent to harmless tools like `list_funnels` while blocking writing tools.

The agent calls `list_contacts` to retrieve CRM records. Gemini's million-token context window allows it to analyze the entire list in a single turn without running out of memory.

Use `update_contact` to pass a JSON string of field-value pairs via the MCP Server. The agent modifies specific CRM fields based on the latest lead behavior tracked in Google Cloud.

Your marketing contact data is protected by Vinkius's zero-trust architecture. Connection tokens are handled securely at the proxy level, meaning your Gemini agent never exposes raw API keys to external networks.

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