How to Use the Lemlist MCP in Pydantic AI

Build type-safe outbound systems using Pydantic AI to validate every Lemlist lead and campaign action before execution.

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Connect Lemlist MCP to Pydantic AI

Create your Vinkius account to connect Lemlist to Pydantic AI 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 Pydantic AI

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Enforce strict type safety on Lemlist leads

Stop worrying about bad data breaking your campaigns when calling `add_lead` by forcing every payload to match your exact schema. Pydantic AI catches missing fields or bad email formats before they hit the API. This MCP Server ensures that if your agent tries to register a prospect with a malformed phone number, the runtime throws a validation error. You won't have to clean up broken records later.

Validate campaign states with Pydantic AI

Keep your outreach sequences predictable by querying campaign details with `get_campaign` and parsing the response through strict Pydantic models. The agent verifies the campaign is active before running `resume_lead`. If the returned data doesn't match the expected structure, the framework fails loudly. This prevents your agent from making decisions based on stale or corrupted campaign information.

Clean up lead lists with model-agnostic agents

Clean up your lead lists using `list_leads` and `delete_lead` with absolute type guarantees. The agent pulls active contacts, filters out unqualified records, and executes deletions safely. Because Pydantic AI handles the validation layer, you can swap your underlying model from Anthropic to OpenAI without changing how your agent handles team data via `get_team`.

Setup guide

Set up Lemlist MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "lemlist-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Lemlist tools.",
)

result = await agent.run("List recent Lemlist transactions")
print(result.output)

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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 Pydantic AI

Instantiate the toolset class with your Vinkius HTTP URL and pass it to the toolsets argument of your agent. This exposes tools like `add_lead` and `pause_lead` with automatic type validation.

The framework raises a validation error immediately. This prevents your agent from acting on corrupted lead profiles or misinterpreting campaign stats returned by `get_campaign`.

Yes. You can define a strict Pydantic model for your prospects. The agent will validate the data locally before executing `add_lead` through the MCP Server.

Yes. The server supports SSE and HTTP transports, allowing your agent to run multiple operations like `pause_lead` and `list_leads` concurrently without blocking your main event loop.

Vinkius routes all traffic through zero-trust, ephemeral V8 sandboxes. Your Lemlist credentials, campaign details, and lead email addresses are never cached or logged, keeping your sales pipeline secure.

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