How to Use the Amplemarket MCP in Mastra AI

Q: How do I register the Amplemarket MCP server inside a Mastra AI agent?

Install @mastra/mcp and instantiate the client with your Vinkius URL. Fetch the tools using listTools() and spread them directly into your agent's tool configuration array.

Q: Can Mastra AI handle multi-step enrichment loops using Amplemarket?

Yes. You can chain listcontacts with enrichperson inside a Mastra AI workflow, passing the output of the list query directly into the enrichment step.

Build self-healing outbound workflows with Mastra AI and the Amplemarket MCP server.

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Connect Amplemarket MCP to Mastra AI

Create your Vinkius account to connect Amplemarket 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 Amplemarket with Mastra AI

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Automated sequence recovery using Mastra AI

`list_sequences` monitors active outbound campaigns and triggers automated adjustments when reply rates drop. Mastra AI uses its workflow engine to branch execution paths based on real-time campaign performance. If a sequence stalls, the workflow automatically branches to queue up a different set of templates. You get a resilient sales loop that manages itself without manual intervention.

Fail-safe company lookup workflows

`enrich_company` retrieves firmographic data to categorize incoming signups automatically. If the enrichment call fails due to rate limits, Mastra's built-in exponential backoff retries the request through the MCP server. This prevents broken workflows when APIs get busy. Your agent waits, retries, and only escalates to a human if the lookup fails multiple times.

Human-in-the-loop contact verification

`get_contact` pulls direct dials and verified emails for high-value targets. Because accurate data is expensive, you can configure Mastra to require manual approval before running this MCP tool. The workflow pauses, sends a Slack notification to your sales rep, and waits for a click before deducting Amplemarket credits. It keeps your budget safe while maintaining automation.

Setup guide

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

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

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

Install `@mastra/mcp` and instantiate the client with your Vinkius URL. Fetch the tools using `listTools()` and spread them directly into your agent's tool configuration array.

Yes. You can chain `list_contacts` with `enrich_person` inside a Mastra AI workflow, passing the output of the list query directly into the enrichment step.

Mastra's workflow engine has native retry logic. If the server returns a rate limit error, the workflow pauses and backs off before trying again.

No. Mastra AI auto-detects the transport type from your Vinkius endpoint, whether it is standard HTTP or Server-Sent Events, handling the connection lifecycle for you.

Your API tokens and exclusion lists are stored securely in Vinkius, meaning Mastra AI only deals with the clean tool interface. The underlying contact details and sequence configurations are fetched dynamically, ensuring no sensitive data is stored in your workflow logs.

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