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How to Use the Buttondown MCP in Google ADK

Connect your Google ADK enterprise agents to your newsletter infrastructure.

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Google ADK

Connect Buttondown MCP to Google ADK

Create your Vinkius account to connect Buttondown 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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Sync newsletter data with Google ADK

Your agent connects to your account using `list_newsletters`. It maps your existing content structure into your Google Cloud pipeline. You build agents that reason over your entire history of sent emails. It brings your marketing data into the same context as your BigQuery datasets.

Manage campaigns using Google ADK

Invoke `list_emails` to audit what you have already sent. The agent parses these drafts and identifies trends in your messaging. It works inside your existing Google Cloud architecture. You maintain full control over which tools the agent can actually trigger.

Subscriber data processing with Google ADK

Use `get_subscriber` to pull individual profiles into your agent's long-context window. Gemini models process these details alongside your cloud data. This setup allows for complex segmentation tasks. You define the criteria, and the agent identifies the correct subscribers.

Setup guide

Set up Buttondown 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Buttondown 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="Buttondown_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Buttondown tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Buttondown. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Buttondown MCP in Google ADK

Use the McpToolset provided by the library. You point it to your Vinkius URL, and the agent gains access to your newsletter tools.
The server exposes `create_subscriber` and other management tools. You can loop these calls within your agent logic for bulk updates.
We enforce strict isolation between your agent and the API. Your newsletter credentials are held in a secure vault, not the agent's memory.
Absolutely. You use the tool_names filter when initializing the McpToolset. This limits the agent to only the specific operations you allow.
We treat subscriber names and email addresses as sensitive data. The connection uses encrypted channels, and the Vinkius gateway scrubs logs for PII.

Start using the Buttondown MCP today

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We've already built the connector for Buttondown. Just plug in your AI agents and start using Vinkius.

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