How to Use the Kit (ConvertKit) MCP in Google ADK

Q: Can Google ADK update Kit (ConvertKit) subscriber fields?

It can. The agent uses the updatesubscriber tool to modify custom fields based on interactions. You trigger this after analyzing user behavior in Vertex AI.

Q: How does the agent find specific users in Kit (ConvertKit) via Google ADK?

It executes searchsubscriberbyid when it has the numeric identifier. For broader queries, it relies on fetching lists and filtering the results in memory.

Q: Can I restrict which tools the Google ADK agent sees on the MCP Server?

Yes. Use the optional toolnames filter when setting up the toolset. This prevents the agent from calling listemailsequences if its only job is adding new leads.

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Connect Kit (ConvertKit) MCP to Google ADK

Create your Vinkius account to connect Kit (ConvertKit) 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 Kit (ConvertKit) with Google ADK

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Feed Audience Data into Gemini

Gemini thrives on massive context windows. You can pull thousands of records using `list_subscribers` and dump them straight into the model's memory. It analyzes your entire audience structure in a single pass. From there, the agent maps out who belongs where. It calls `list_all_tags` to understand your taxonomy. If it spots inconsistencies, it generates a plan to fix them.

Connect the MCP Server to Google ADK

Enterprise workflows require connecting different cloud systems. Your Google ADK agent pulls lead data from BigQuery and pushes it directly into your marketing funnels via `add_subscriber_to_form`. It then assigns specific behavioral markers using `apply_tag_to_subscriber`. You restrict exposed operations using the tool_names filter in your McpToolset setup to keep the agent focused.

Track Growth Metrics Programmatically

Dashboards are passive. Active agents pull their own metrics to measure campaign success. The agent triggers `get_account_growth_summary` to read subscriber volume changes over time. When it detects a spike, it digs deeper. It runs `list_optin_forms` to see which landing page drove the traffic. Then it fetches individual conversions via `get_subscriber_details`.

Setup guide

Set up Kit (ConvertKit) 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 Kit (ConvertKit) 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="Kit (ConvertKit)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kit (ConvertKit) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Kit (ConvertKit) MCP in Google ADK

Wrap your endpoint URL in StreamableHttpServerParameters and instantiate an McpToolset. Pass that toolset into your LlmAgent initialization. Both Stdio and HTTP transports work out of the box.

It can. The agent uses the update_subscriber tool to modify custom fields based on interactions. You trigger this after analyzing user behavior in Vertex AI.

It executes search_subscriber_by_id when it has the numeric identifier. For broader queries, it relies on fetching lists and filtering the results in memory.

Yes. Use the optional tool_names filter when setting up the toolset. This prevents the agent from calling list_email_sequences if its only job is adding new leads.

The server handles sensitive email sequences and subscriber names. We enforce a zero-trust architecture where the connection requires a single endpoint token. Vinkius manages the authentication layer, ensuring your API secrets never leak into the LLM context.

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