How to Use the No2Bounce MCP in Mastra AI

Build resilient email cleaning workflows in Mastra AI without writing custom polling logic.

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Connect No2Bounce MCP to Mastra AI

Create your Vinkius account to connect No2Bounce 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 No2Bounce with Mastra AI

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Claude

Perplexity

Trigger massive list jobs

The `validate_bulk` tool initiates the scrubbing process for thousands of contacts at once. Your Mastra AI workflow passes the raw email array to the endpoint and receives a tracking ID in return. This fits perfectly into a conditional branch. If a marketing campaign triggers, the agent automatically holds the send action until it cleans the target list.

Handle validation failures gracefully

Firing the `get_validation_status` tool checks the progress of your submitted batch. Workflows rely on this to pull the final array of clean addresses and hard bounce metadata. Mastra's built-in exponential backoff shines here. If the list is huge and still processing, the agent just retries the status check later without crashing your pipeline.

Deploy the No2Bounce MCP Server fast

Wiring this MCP Server into your project takes one line using the client class. You map the Vinkius URL, and the framework auto-detects the transport layer. Spread the listed tools directly into your agent configuration. You get instant access to the cleaning endpoints, ready to deploy to any cloud provider.

Setup guide

Set up No2Bounce 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 No2Bounce 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: "no2bounce-mcp-client",
  servers: {
    "no2bounce-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "No2Bounce Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to No2Bounce tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent No2Bounce transactions"
);
console.log(result.text);

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Common questions about No2Bounce MCP in Mastra AI

Initialize the client with your endpoint URL. Spread the listed tools into your agent configuration so it can access the cleaning endpoints.

Yes. You configure the workflow to poll the status tool with exponential backoff until the final results return.

You decide. Turn on tool approval if you want an admin to review the hard bounce report before the workflow deletes the bad contacts.

Mastra catches the failure and retries the submission. Your pipeline continues running smoothly once the tracking ID finally generates.

Zero-trust rules apply to every request. The server ingests your email addresses into a temporary V8 sandbox, calculates the bounce status, and wipes the memory immediately after your workflow pulls the results.

Use it with your favorite AI tools

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