How to Use the Drift MCP in Mastra AI

Build resilient Drift workflows in Mastra AI. Automate lead routing and agent hand-offs with built-in retry logic.

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…and any MCP-compatible client

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Connect Drift MCP to Mastra AI

Create your Vinkius account to connect Drift 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 Drift with Mastra AI

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Automated lead qualification

Run `list_drift_playbooks` to determine which automated flows are active. You can branch your Mastra workflow based on the current playbook state. This prevents your agents from stepping on active bots. It creates a clean hand-off between your automated logic and manual intervention.

Conditional conversation routing

Use `get_conversation_details` to pull in transcript data for your Mastra agent to analyze. If the context signals high intent, the agent can trigger an alert. This makes your workflow smarter by looking at the actual text before deciding on the next step. It cuts out the noise of low-quality chats.

Reliable agent availability checks

Implement `quick_agent_availability_audit` as a gatekeeper in your workflow. If no one is available, the agent can queue the request instead of failing. This ensures your operations keep moving even when the team is offline. It adds a layer of predictability to your customer service pipeline.

Setup guide

Set up Drift 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 Drift 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: "drift-mcp-client",
  servers: {
    "drift-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Drift MCP in Mastra AI

Yes, you can wrap any tool call in a retry block. If the API hits a rate limit, Mastra handles the backoff automatically.

Register the server in your Mastra config and spread the tools into your agent definition. It's a direct mapping that takes seconds to set up.

You can enable tool approval in your agent configuration. This forces the agent to ask for your sign-off before executing destructive or sensitive Drift actions.

Data exists only in memory during the execution of your workflow. The server doesn't store your logs or contact information long-term.

Only the specific contact details you request are fetched. The server operates on a per-call basis, ensuring sensitive records aren't exposed unnecessarily.

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