How to Use the Flodesk MCP in Google ADK

Q: How does Google ADK handle the Flodesk MCP Server tools?

You register the tools by passing the McpToolset to your LlmAgent configuration. The Gemini model automatically detects tools like listsubscribers and executes them based on your natural language instructions.

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

Yes, you can use the toolnames filter in the McpToolset parameters to restrict access. For example, you can expose only getsubscriber while blocking destructive tools like unsubscribesubscriber.

Q: How do I check my current subscription limits?

Your agent runs getaccountdetails to retrieve your account status and limits. This helps you monitor usage directly from your terminal or cloud console.

Sync your BigQuery data directly to your email lists using the Flodesk MCP Server and Google ADK.

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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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BigQuery to segment sync via Google ADK

The `add_to_segment` tool moves contacts from your Google Cloud databases into targeted Flodesk lists via the Google ADK using the Flodesk MCP Server. Your agent queries BigQuery, processes the list, and applies the changes instantly. The long-context window of Gemini allows the agent to analyze thousands of rows of customer data before running `list_segments` to match them to the correct group. This setup replaces manual CSV exports with automated cloud workflows.

Context-aware subscriber profile updates

The `get_subscriber` tool fetches deep profile information directly into your Google ADK reasoning loop. The agent reads the subscriber's history to determine their engagement level before making changes. If the user is inactive, the agent runs `unsubscribe_subscriber` to clean your list and protect deliverability. The Gemini model handles this decision-making by processing your entire history of interactions in a single prompt.

Automated custom field mapping

The `create_custom_field` tool maps enterprise data points from Vertex AI directly into Flodesk user profiles. Your Google ADK agent creates the custom fields needed to store machine learning predictions. It uses `list_custom_fields` to prevent duplicate properties and maintain a clean database schema. This keeps your marketing campaigns aligned with your cloud-based predictive models.

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

You register the tools by passing the `McpToolset` to your `LlmAgent` configuration. The Gemini model automatically detects tools like `list_subscribers` and executes them based on your natural language instructions.

Yes, you can use the `tool_names` filter in the `McpToolset` parameters to restrict access. For example, you can expose only `get_subscriber` while blocking destructive tools like `unsubscribe_subscriber`.

Set up the server using the Vinkius HTTP endpoint and wrap it in the `StreamableHttpServerParameters` class. Pass this toolset directly to your agent initialized on Google Cloud.

Your agent runs `get_account_details` to retrieve your account status and limits. This helps you monitor usage directly from your terminal or cloud console.

Your custom field definitions and values are encrypted in transit using TLS 1.3. The Vinkius sandbox isolates the execution environment, ensuring that no marketing metadata is logged or exposed to the public internet.

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