How to Use the Lemlist MCP in Google ADK

Q: How does Gemini's long context help when managing Lemlist campaigns?

It lets the agent analyze thousands of leads returned by listleads at once. The model can identify trends across entire campaigns and adjust templates without losing track of older conversations.

Pipeline BigQuery lists straight into Lemlist campaigns using the Google ADK to drive large-scale personalized outreach.

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Connect Lemlist MCP to Google ADK

Create your Vinkius account to connect Lemlist 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 Lemlist with Google ADK

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Sync BigQuery data directly to Lemlist

Stop exporting CSVs to update your cold outreach lists when you can run `add_lead` directly from your cloud database. The Google ADK lets Gemini analyze high-intent signals in BigQuery and immediately drop those prospects into active campaigns. This MCP Server acts as the direct bridge between your cloud data warehouse and your outboxes. Your agent reads raw SQL tables, extracts verified emails, and registers them without manual intervention.

Long-context campaign audits with Google ADK

Feed entire campaign histories into Gemini's million-token context window using `list_campaigns` and `list_leads` to analyze what copy actually converts. The model processes thousands of previous interactions in a single run. Because the ADK handles massive payloads easily, your agent can review full campaign performance via `get_campaign` to rewrite underperforming templates and update prospects on the fly.

Scale team outreach across multiple senders

Manage complex organization structures using `get_team` to map out available sender profiles and balance the outbound load. Your agent uses the MCP Server to pull team details and distribute sends dynamically. If a sender's inbox gets too close to daily safety caps, the agent uses `pause_lead` and `resume_lead` to shift active prospects to a warmer domain. It keeps your delivery rates high without manual scheduling.

Setup guide

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

Use the MCP toolset class with the Vinkius HTTP transport URL. Pass this toolset to your agent initialization to let Gemini call `add_lead` and `list_leads` during its reasoning loops.

Yes. You can pass a filtered list of tool names to the toolset configuration. If you only want the agent to monitor campaigns, restrict it to `get_campaign` and `list_campaigns` while blocking write operations.

It lets the agent analyze thousands of leads returned by `list_leads` at once. The model can identify trends across entire campaigns and adjust templates without losing track of older conversations.

Yes. The Google ADK integrates with Vertex AI, allowing automated ML pipelines to call `resume_lead` or `add_lead` via this MCP Server when a churn risk model flags a specific account.

Vinkius processes your Lemlist API tokens and campaign payloads in isolated, ephemeral runtimes. No lead data or team details are ever saved to disk, ensuring complete compliance with enterprise data policies.

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