How to Use the Apollo.io MCP in Mastra AI

Q: How does Mastra AI handle adding a contact to a non-existent Apollo.io sequence?

The addtosequence tool will return an error. You can wrap this call in a try/catch block within your Mastra AI workflow to handle it gracefully, perhaps by using listsalessequences to find a valid one first.

Q: Can I require human approval in Mastra AI before adding leads to an Apollo.io sequence?

Yes. After your agent uses searchpeople to generate a list, use Mastra AI's requireToolApproval feature. This pauses the workflow until a person reviews the list and approves the addtosequence step.

Q: What’s the easiest way to connect Mastra AI to my Apollo.io MCP Server?

Just pass your Vinkius URL into the MCPClient constructor. Mastra AI handles the transport detection and tool listing automatically, so you can start using tools like searchcompanies right away in your agent.

Q: Can I build a Mastra AI workflow that finds and enriches all my saved contacts in Apollo.io?

Definitely. Your agent would first call listsavedcontacts to get all the contact IDs. Then, it would loop through them and call enrichpersondata for each one, pushing the fresh data back to your CRM.

Build resilient sales automation workflows on Apollo.io with Mastra AI's conditional branching and automatic retries.

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Connect Apollo.io MCP to Mastra AI

Create your Vinkius account to connect Apollo.io 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 Apollo.io with Mastra AI

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Create Fault-Tolerant Lead Enrichment

The `enrich_person_data` tool gets you fresh contact details from Apollo.io. But what happens if the API call fails? Mastra AI's built-in retry logic with exponential backoff handles intermittent network issues for you. You can build a workflow that tries `enrich_person_data`. If it fails after three retries, it logs the error and sends a notification. If it succeeds, it moves to the next step. This makes your automation dependable.

Build Conditional Prospecting Logic

A Mastra AI agent can use `search_people` to find prospects, then apply conditional logic to the results. For example: if a prospect's title is "VP of Engineering," your agent can automatically run `enrich_company_data` to check their tech stack. If the company uses a specific technology, your agent can then use `add_to_sequence` to enroll them in a hyper-targeted campaign. This isn't just a simple script; it's a smart, branching workflow that you define in TypeScript.

Manage Your Apollo.io MCP Server

This MCP Server isn't just for prospecting. You can build administrative workflows with tools like `get_credit_info` and `get_api_health` to monitor your account automatically. For example, create a Mastra AI agent that runs daily. It first checks `get_credit_info`. If credits are below 10%, it sends a Slack alert to the RevOps team. That's automation that prevents problems before they start.

Setup guide

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

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

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

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Common questions about Apollo.io MCP in Mastra AI

The `add_to_sequence` tool will return an error. You can wrap this call in a try/catch block within your Mastra AI workflow to handle it gracefully, perhaps by using `list_sales_sequences` to find a valid one first.

Yes. After your agent uses `search_people` to generate a list, use Mastra AI's `requireToolApproval` feature. This pauses the workflow until a person reviews the list and approves the `add_to_sequence` step.

Just pass your Vinkius URL into the `MCPClient` constructor. Mastra AI handles the transport detection and tool listing automatically, so you can start using tools like `search_companies` right away in your agent.

Definitely. Your agent would first call `list_saved_contacts` to get all the contact IDs. Then, it would loop through them and call `enrich_person_data` for each one, pushing the fresh data back to your CRM.

Your prospect and company data is processed within a Vinkius sandbox for each request. Mastra AI communicates with the MCP Server over a secure HTTPS connection, and the server itself runs in an isolated V8 instance that is destroyed after execution.

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