How to Use the Fivetran MCP in Mastra AI

Q: How do I add the Fivetran MCP Server to a Mastra AI agent?

You initialize the client using new MCPClient and spread the tools directly into your agent configuration. This gives your agent immediate access to tools like listconnectors and getgroup.

Q: Can Mastra AI trigger workflows based on Fivetran connector status?

Yes, you can write a workflow that periodically calls getconnector to check for errors. If the sync state shows a failure, the workflow executes your custom recovery steps automatically.

Build automated data pipeline workflows using Mastra AI to monitor and repair sync states.

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Connect Fivetran MCP to Mastra AI

Create your Vinkius account to connect Fivetran 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 Fivetran with Mastra AI

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Automate pipeline recovery with Mastra AI

The `get_connector` tool lets your agent check the health of any data pipeline. If a sync fails, the workflow engine triggers conditional logic to investigate the root cause. This setup runs automated checks without human intervention. Your agent can evaluate the failure, notify the right team, and log the incident details instantly.

Inspect pipeline groups and destinations

The `list_groups` and `get_destination` tools provide immediate visibility into your destination configurations. Your workflows use these to map which sources feed into which warehouses. This MCP Server allows your agents to dynamically discover new groups as they are created. You don't have to hardcode IDs into your workflow files anymore.

Audit team permissions inside automated workflows

The `list_teams` and `list_users` tools expose the authorization structure of your account. Your agents run scheduled audits to verify that only active employees have access to your sync groups. If the agent finds an unauthorized user, it flags the account for review. You can build human-in-the-loop steps to approve or deny these access changes.

Setup guide

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

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

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

You initialize the client using `new MCPClient` and spread the tools directly into your agent configuration. This gives your agent immediate access to tools like `list_connectors` and `get_group`.

Yes, you can write a workflow that periodically calls `get_connector` to check for errors. If the sync state shows a failure, the workflow executes your custom recovery steps automatically.

Yes, you can enforce approval steps before letting an agent perform sensitive actions. This is useful when verifying group configurations or auditing users with `list_users`.

The server communicates with the platform API within safe limits to prevent throttling. Your agent can query `list_groups` and `list_connectors` sequentially without triggering blocks.

The server only accesses metadata like sync statuses, group IDs, and user emails via `list_users`. It never touches your actual database records, and all API communication runs through a zero-trust sandbox.

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