How do I get my Lemlist API key?

Log in to your Lemlist account at **app.lemlist.com**. Click your **profile icon** (bottom left corner). Select **Settings**, then navigate to the **Integrations** tab. Look for the **API** section and click **Generate** to create a new API key. Copy the key immediately and save it securely — it is only shown once. Paste it into the configuration field below.

Can I check which leads opened my emails today?

Yes. Ask your AI agent 'Who opened my emails today?' and it returns a list of leads with their email addresses, campaign names, open timestamps, and total open counts — giving your SDR team warm lead signals in real-time.

Can my agent add new leads to an existing campaign?

Yes. Provide the lead's email, first name, and any custom variables, and your AI agent adds them directly to any active campaign — they'll automatically enter the sequence at step 1. Perfect for sales teams who find prospects and want to start outreach immediately.

What engagement metrics can I track?

Your AI agent can pull opens, clicks, replies, bounces, and unsubscribes per campaign — plus step-by-step analytics showing which emails in your sequence perform best. Perfect for optimizing subject lines, send times, and follow-up cadences.

Lemlist MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Lemlist
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Lemlist through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Lemlist "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Lemlist?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lemlist MCP Server

Connect Lemlist to your AI agent and manage your cold email outreach and lead engagement pipeline conversationally.

Pydantic AI validates every Lemlist tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Campaign Management — List, create, and monitor email campaigns with open rates, click rates, and reply metrics.
Lead Tracking — Add leads to campaigns, check engagement statuses, and manage lead lists programmatically.
Sequence Analytics — Pull step-by-step performance data for multi-touch email sequences.
Activity Feed — Monitor recent opens, clicks, replies, and bounces across all campaigns.

The Lemlist MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lemlist to Pydantic AI via MCP

Follow these steps to integrate the Lemlist MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Lemlist with type-safe schemas

Why Use Pydantic AI with the Lemlist MCP Server

Pydantic AI provides unique advantages when paired with Lemlist through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Lemlist integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Lemlist connection logic from agent behavior for testable, maintainable code

Lemlist + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Lemlist MCP Server delivers measurable value.

Type-safe data pipelines: query Lemlist with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Lemlist tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Lemlist and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Lemlist responses and write comprehensive agent tests

Lemlist MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Lemlist to Pydantic AI via MCP:

add_lead

Add lead to campaign

delete_lead

Delete lead from campaign

get_campaign

Get campaign details

get_team

Get team info

list_campaigns

List all campaigns

list_leads

List campaign leads

pause_lead

Pause a lead

resume_lead

Resume a lead

Example Prompts for Lemlist in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Lemlist immediately.

"What's the performance of my 'Q2 Outreach' campaign?"

"Add lead sarah@startup.io to the 'Series A Founders' campaign."

"Who replied to my emails this week?"

Troubleshooting Lemlist MCP Server with Pydantic AI

Common issues when connecting Lemlist to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Lemlist + Pydantic AI FAQ

Common questions about integrating Lemlist MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Lemlist MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.