How to Use the Enrich CRM MCP in Mastra AI

Q: How do I register Enrich CRM tools in Mastra AI?

Create a new MCPClient instance with your Vinkius HTTP URL, then spread the output of mcpClient.listTools() into your agent's tool array. The framework registers everything automatically.

Q: Can Mastra AI handle rate limits when using Enrich CRM?

Yes. Mastra AI's workflow engine wraps tools like enrichperson in an automatic retry loop, meaning you won't lose data if you hit temporary provider rate limits during a bulk import.

Q: How do I build human-in-the-loop steps with Enrich CRM and Mastra AI?

Set the requireToolApproval flag to true on your agent for tools like findphone. This forces the workflow to pause and wait for a human admin to approve the lookup before the MCP server processes the call.

Q: How is customer account data protected?

The getaccountinfo tool only accesses metadata related to your subscription limits and usage statistics. Your private CRM records are never stored on Vinkius servers, keeping your customer database secure.

Build resilient data workflows that auto-retry and update your database using Mastra AI and the Enrich CRM MCP Server.

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Connect Enrich CRM MCP to Mastra AI

Create your Vinkius account to connect Enrich CRM 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 Enrich CRM with Mastra AI

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Build branching enrichment loops

The `enrich_company` tool integrates directly into your Mastra AI workflows to check company size and technographic data before routing leads. If a company uses a specific tech stack, your workflow automatically triggers a custom sequence. Mastra lets you define clear conditional steps based on the output of this MCP server. If the initial lookup returns empty, the workflow branches to alternate data sources without failing.

Mastra AI handles contact lookup retries

Running `find_email` and `find_phone` inside a Mastra AI agent ensures temporary network hiccups don't break your data pipeline. The framework's built-in exponential backoff handles rate limits automatically. You don't have to write custom loop or retry logic to handle API timeouts. The agent waits, retries, and only escalates to a human operator if the contact information remains completely unreachable.

Validate account limits before running workflows

The `get_account_info` tool lets your agent check if a customer has remaining API credits before running a multi-step enrichment job. Mastra AI reads this status at the start of the workflow execution. If the account is out of credits, the workflow halts and triggers an alert. This keeps your system from wasting resources on invalid or unpaid enrichment requests.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Enrich CRM. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Enrich CRM MCP in Mastra AI

Create a new `MCPClient` instance with your Vinkius HTTP URL, then spread the output of `mcpClient.listTools()` into your agent's tool array. The framework registers everything automatically.

Yes. Mastra AI's workflow engine wraps tools like `enrich_person` in an automatic retry loop, meaning you won't lose data if you hit temporary provider rate limits during a bulk import.

Set the `requireToolApproval` flag to true on your agent for tools like `find_phone`. This forces the workflow to pause and wait for a human admin to approve the lookup before the MCP server processes the call.

No. Vinkius handles the authorization for all underlying data providers. Your Mastra agent only needs a single token to access all five tools.

The `get_account_info` tool only accesses metadata related to your subscription limits and usage statistics. Your private CRM records are never stored on Vinkius servers, keeping your customer database secure.

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