How to Use the Flodesk MCP in Google ADK

Q: How do I initialize the Flodesk MCP Server with the Google ADK?

Use the McpToolset class with your HTTP server parameters. Pass that MCP toolset into your LlmAgent constructor so Gemini can call the email tools.

Q: Can I limit which Flodesk tools my Google ADK agent can access?

Yes, the framework lets you pass a toolnames filter to restrict exposure. You can lock down your agent so it only runs getsubscriber and cannot delete or modify segments.

Q: How does Google ADK handle high-volume Flodesk subscriber updates from BigQuery?

The agent reads records from BigQuery and uses upsertsubscriber iteratively. You can deploy this as a Cloud Run job to handle large scale updates without timeouts.

Q: How does the tool retrieve subscriber metadata?

The agent calls listcustomfields to inspect your account's schema. It then populates those specific keys when creating or modifying profiles.

Connect Google ADK agents to Flodesk to sync BigQuery data and trigger email sequences using Gemini long-context reasoning.

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Connect Flodesk MCP to Google ADK

Create your Vinkius account to connect Flodesk 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 Flodesk with Google ADK

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Enterprise subscriber sync from BigQuery to Flodesk

This MCP Server connects `upsert_subscriber` directly to your Google ADK pipelines for automated Flodesk list growth. Your Gemini-powered Google ADK agents query customer behavior tables in BigQuery, process millions of rows, and update Flodesk subscriber records in batches. That is pure scale. Because the Google ADK handles long-context inputs, your agent can analyze months of user logs before deciding to invoke `add_subscriber_to_segment` in Flodesk. This prevents disjointed communication and ensures your Flodesk lists reflect actual customer activity.

Manage Flodesk segments using the Google ADK

The `list_segments` and `create_segment` tools expose your Flodesk email list architecture directly to Google ADK. Gemini models running on Google ADK process your entire Flodesk segment taxonomy in a single prompt to find overlaps or suggest cleanups. It cleans up clutter fast. You can feed your entire marketing strategy doc into the Google ADK agent alongside current Flodesk segment structures. The Google ADK framework then builds targeted Flodesk lists based on that strategy, executing the API calls without manual mapping.

Automate complex sequences with workflow discovery

The `list_workflows` tool pulls all your active Flodesk email sequences into the Google ADK context window. Your Google ADK agent matches incoming customer events with the correct sequence and uses `add_subscriber_to_workflow` to start the Flodesk drip. This Flodesk automation runs on Google Cloud infrastructure via Google ADK, giving you standard enterprise monitoring. You get reliable execution even when syncing thousands of active customers from your database to your Flodesk lists.

Setup guide

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

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Common questions about Flodesk MCP in Google ADK

Use the `McpToolset` class with your HTTP server parameters. Pass that MCP toolset into your `LlmAgent` constructor so Gemini can call the email tools.

Yes, the framework lets you pass a `tool_names` filter to restrict exposure. You can lock down your agent so it only runs `get_subscriber` and cannot delete or modify segments.

The agent reads records from BigQuery and uses `upsert_subscriber` iteratively. You can deploy this as a Cloud Run job to handle large scale updates without timeouts.

The agent calls `list_custom_fields` to inspect your account's schema. It then populates those specific keys when creating or modifying profiles.

Your subscriber emails and custom fields remain inside your Google Cloud VPC boundary. Vinkius executes the MCP connector in an ephemeral sandbox, securing your credentials with secret manager integration.

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