How to Use the Lemlist MCP in AutoGen

Let your AutoGen agents debate and coordinate your Lemlist outreach campaigns with zero manual oversight.

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Connect Lemlist MCP to AutoGen

Create your Vinkius account to connect Lemlist to AutoGen 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 AutoGen

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AutoGen agents debating lead quality

Outbound sales is too risky for a single AutoGen agent to handle alone. With this MCP Server, you can set up an AutoGen writing agent to draft copy, a compliance agent to check for spam triggers, and a manager agent to execute `add_lead` on your Lemlist campaign. They debate the quality of the prospect and the copy before anything goes live. If the compliance agent flags a lead as high-risk, it can suggest running `delete_lead` to protect your Lemlist sender reputation. This collaborative workflow ensures your AutoGen campaigns stay clean and your sender reputation remains intact.

Coordinated pause workflows via MCP Server

Managing active Lemlist campaigns requires constant monitoring from your AutoGen agents. You can deploy one AutoGen agent to watch your inbox and another to manage the sequence. When a reply comes in, the inbox agent alerts the manager agent, which immediately runs `pause_lead` to stop further automated emails. If the reply was just an out-of-office message, the AutoGen agents can discuss the context and decide to call `resume_lead` automatically. You get hands-off Lemlist campaign management that actually behaves like a smart human.

Collaborative campaign health audits

Keep your sales team aligned without manual reporting. One AutoGen agent can call `list_campaigns` to gather high-level Lemlist data, while a second agent calls `get_team` to map campaign performance to specific team members. They compile a clean report and debate the next strategic moves. If a campaign is underperforming, the AutoGen agents can coordinate to pull the active lead list via `list_leads` and reallocate budget or targets. It turns raw Lemlist API data into an active, self-correcting sales operation.

Setup guide

Set up Lemlist MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Lemlist tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Lemlist_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lemlist data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Lemlist_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lemlist data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

You assign the tools to an agent group where one agent acts as the executor. The executor agent runs `add_lead` only after the copywriter and compliance agents agree that the lead data is clean.

Yes, an agent can monitor your inbox and instruct the executor agent to run `pause_lead`. This multi-agent setup ensures you never send automated follow-ups to someone who already booked a meeting.

You use the MCP adapter to fetch the tools from the server. The adapter automatically handles the schema conversion, exposing tools like `list_campaigns` directly to your agents.

Yes, the server supports both connection methods. You can run it locally via stdio or host it securely on Vinkius and connect via HTTP with a single token.

Yes, your team configurations and lead tracking states are transmitted over encrypted connections. Vinkius manages the MCP authentication token securely, ensuring your internal sales structure remains private.

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