How to Use the Mailshake MCP in Google ADK

Q: How can I use the Google ADK to manage my Mailshake account?

You'll install google-adk and create an McpToolset pointing to your Vinkius server URL. Pass that toolset to your LlmAgent to give it access to all 12 Mailshake tools.

Q: What's the best way to monitor Mailshake campaign performance with the Google ADK?

Your Gemini agent can periodically call listengagementactivity and getcampaigndetails. Since the ADK integrates with Google Cloud, you can have the agent write these performance metrics directly to BigQuery or Google Sheets for analysis.

Q: Can I restrict which Mailshake tools my Google ADK agent can use?

Yes, the McpToolset constructor accepts a toolnames filter. You can provide a list of specific tools, like 'listcampaigns', 'updateleadstatus', to limit the agent's permissions.

Connect Gemini agents to Mailshake and act on your sales data with the Google ADK.

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Connect Mailshake MCP to Google ADK

Create your Vinkius account to connect Mailshake 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 Mailshake with Google ADK

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Enterprise-Scale Campaign Ops

Your Gemini agent can now run your Mailshake outreach. Give it a goal, and it will use tools like `list_campaigns` to get a status check, then `pause_campaign` on underperformers. It can dig into specifics with `get_campaign_details`, all within your Google Cloud environment. Because the Google ADK is built for long-context reasoning, your agent can analyze performance across dozens of campaigns at once. It can hold the entire context in memory to make smarter decisions about what to start, stop, or change.

Bridge Mailshake and Your Data Warehouse

This is more than just running campaigns; it's about connecting your sales ops to your data. Your agent can pull `list_sales_leads` from Mailshake and use its native BigQuery integration to cross-reference them with your existing customer data. Imagine an agent that finds a new lead in Mailshake, checks BigQuery to see if they're a former customer, and then uses `update_lead_status` to flag them for a special re-engagement sequence. That's the kind of workflow this setup unlocks.

Automate Prospecting with a Gemini Agent

Feed your agent a list of contacts from a Google Sheet or any other source. It can then intelligently use the `add_prospects` tool to drip them into the right Mailshake campaigns based on criteria you define. It can also manage individual outreach with `pause_prospect`. This MCP server gives your Gemini agent the specific actions it needs to turn a list into a pipeline. You're not just triggering a bulk import; you're giving an intelligent agent the controls to run a thoughtful outreach process.

Setup guide

Set up Mailshake 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 Mailshake 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="Mailshake_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mailshake 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 Mailshake. 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 Mailshake MCP in Google ADK

You'll install `google-adk` and create an `McpToolset` pointing to your Vinkius server URL. Pass that toolset to your `LlmAgent` to give it access to all 12 Mailshake tools.

Yes. The agent can query BigQuery for a list of contacts and then use the `add_prospects` tool from this server to enroll them in a Mailshake campaign. It bridges your data warehouse and your sales outreach.

Your Gemini agent can periodically call `list_engagement_activity` and `get_campaign_details`. Since the ADK integrates with Google Cloud, you can have the agent write these performance metrics directly to BigQuery or Google Sheets for analysis.

Yes, the `McpToolset` constructor accepts a `tool_names` filter. You can provide a list of specific tools, like `['list_campaigns', 'update_lead_status']`, to limit the agent's permissions.

The connection is restricted to the data needed for the tools to function—things like your campaign names, prospect email addresses, and lead statuses. Your Vinkius token authenticates every request, and the MCP server itself is ephemeral, processing data in-memory without storing it.

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