How to Use the Hunter MCP in Mastra AI

Q: How do I manage Hunter rate limits inside Mastra AI?

You can monitor your remaining credits by calling getaccountusage inside your workflow. Mastra's built-in retry mechanisms will automatically handle any rate-limit pauses from the API.

Run automated lead-enrichment workflows with Mastra AI and Hunter.

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Connect Hunter MCP to Mastra AI

Create your Vinkius account to connect Hunter 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 Hunter with Mastra AI

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Claude

Perplexity

Automated branch-and-retry verification loops

Mastra AI workflows let you build resilient pipelines that handle network hiccups gracefully. If a call to `verify_email_address` fails due to a temporary network issue, the built-in workflow engine retries with exponential backoff. You can set up conditional branches that route catch-all domains to manual review while instantly pushing valid emails to your CRM. This ensures your sales team only receives clean, ready-to-use contact data.

Multi-step enrichment using this MCP Server

Build complex pipelines that start with a raw domain and end with fully enriched profiles. Your agent first calls `search_domain_emails` to locate key targets, then automatically triggers `enrich_email_data` to gather social profiles. The entire process runs through the `MCPClient` instance you define in your Mastra config. It registers all 12 tools instantly, allowing your agent to jump from discovery to enrichment without custom API glue.

Controlled lead creation with human-in-the-loop

Prevent your database from getting cluttered with unverified contacts by using Mastra's tool approval feature. Before the agent executes `create_new_lead`, it pauses the workflow and requests a manual sign-off. Once approved, the agent updates the record with `update_lead_info` and saves it. This balance of automation and human oversight keeps your CRM data pristine.

Setup guide

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

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

const result = await agent.generate(
  "List recent Hunter 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 Hunter. 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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place for every integration

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Common questions about Hunter MCP in Mastra AI

You initialize the MCP client with your Vinkius endpoint URL and call `mcpClient.listTools()`. Then, you simply spread those tools directly into your Mastra agent configuration.

Yes, you can design a workflow that checks deliverability using `verify_email_address` first. If the status is valid, the workflow triggers `create_new_lead`; otherwise, it routes to a review queue.

You can monitor your remaining credits by calling `get_account_usage` inside your workflow. Mastra's built-in retry mechanisms will automatically handle any rate-limit pauses from the API.

No, the client automatically detects whether the server is using Streamable HTTP or Server-Sent Events. You only need to provide the server URL.

Yes, all requests to check usage or fetch lead details run through a zero-trust MCP sandbox. Your API keys and usage metrics are isolated from other processes and deleted immediately after execution.

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