How to Use the Snov.io MCP in Mastra AI

Q: Can I use Snov.io to find emails with the Mastra AI framework?

Yes, using emailfinder within a workflow allows your agent to extract necessary contact data in sequence. This is ideal for automated drip campaign setup.

Q: Is listing prospects reliable with Snov.io and the Mastra AI framework?

Since listprospectlists is a core tool, you can build guaranteed steps to check your entire library of leads before starting any campaign.

Build complex, resilient workflows with Snov.io and the Mastra AI framework.

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…and any MCP-compatible client

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Connect Snov.io MCP to Mastra AI

Create your Vinkius account to connect Snov.io to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Snov.io with Mastra AI

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Automated Prospect Discovery

The `email_finder` tool lets your agent pull contact emails directly from domain names as part of a multi-step process. You can sequence this with `domain_search` to validate the source before proceeding. This is perfect for building workflows that must first gather data, and then use that gathered data in a subsequent step.

Conditional Lead Management

Need to check if a lead exists before adding them? Your agent can run `get_prospect_by_email` first. If the tool returns nothing, the workflow automatically triggers an attempt using `add_prospect`. This handles missing data gracefully. The framework ensures that if one step fails—say, finding a credit balance via `get_balance`—it doesn't stop the entire sequence; it can retry or notify you instead.

Deep Domain Analysis for Workflows

Run `tech_checker` to analyze a company's technologies, then use that output to decide what kind of outreach message to craft. The agent treats the tool result as a variable input for the next step in the workflow. If you need to manage multiple targets, the ability to call `list_prospect_lists` allows your routine to iterate over a set list before processing each entry.

Setup guide

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

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

const result = await agent.generate(
  "List recent Snov.io 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 Snov.io. 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 Snov.io MCP in Mastra AI

The MCP Server exposes all Snov.io tools as reliable functions within your complex workflow engine. This means you can build multi-step processes that handle failures and retries automatically.

Yes, using `email_finder` within a workflow allows your agent to extract necessary contact data in sequence. This is ideal for automated drip campaign setup.

Absolutely. The underlying architecture handles automatic retries and conditional branching, so if an API call fails, it doesn't just crash—it executes your fallback logic.

The server touches various types of structured data: prospect details (emails, names), domain technology profiles, and account credit usage.

Since `list_prospect_lists` is a core tool, you can build guaranteed steps to check your entire library of leads before starting any campaign.

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