How to Use the Lemlist MCP in Mastra AI

Q: Can I use Mastra AI to pause Lemlist campaigns automatically?

Yes, you can script a workflow that calls pauselead based on specific criteria. It's a solid way to prevent mass bounces during a campaign.

Build resilient outreach workflows in Mastra AI. Automate your Lemlist campaigns with error handling and conditional logic.

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Connect Lemlist MCP to Mastra AI

Create your Vinkius account to connect Lemlist to Mastra 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 Mastra AI

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Mastra AI workflow automation for Lemlist

Embed `add_lead` and `list_leads` into your Mastra agent workflows. You can build complex, multi-step sequences that check data quality before pushing a single contact into a campaign. If an API call fails, Mastra handles the retry logic automatically. You define the flow, and the agent executes the Lemlist operations reliably.

Conditional campaign management in Mastra AI

Use `get_campaign` and `pause_lead` to build branching logic. If your campaign bounce rate spikes, your Mastra agent detects the signal and pauses outreach to protect your domain. This keeps your sender reputation intact without human intervention. You define the thresholds, and the agent keeps the campaigns running within your limits.

Team coordination with Mastra AI

Use `get_team` to ensure your agent is operating on the correct account. You can build workflows that distribute leads across different team members based on campaign performance. This allows for scalable outreach management across your entire organization. Your agent maintains the state of each campaign, ensuring consistency.

Setup guide

Set up Lemlist MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Lemlist tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "lemlist-mcp-client",
  servers: {
    "lemlist-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Lemlist Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Lemlist tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Lemlist transactions"
);
console.log(result.text);

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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 Mastra AI

Add the MCP server to your Mastra client configuration. Once registered, your agents can call `list_campaigns` and other tools as part of any multi-step workflow.

Your outreach data flows through an encrypted MCP tunnel. Mastra keeps your API keys isolated, and you control exactly which tools your agents can use.

Yes, you can script a workflow that calls `pause_lead` based on specific criteria. It's a solid way to prevent mass bounces during a campaign.

Mastra provides built-in retry mechanisms and error handling. If a call to `resume_lead` fails, the framework catches it and executes your defined fallback logic.

The server processes contact names, email addresses, and lead status identifiers. Mastra treats this as structured data for your agent to process and store.

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