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Vinkius

Fivetran MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fivetran through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "fivetran": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Fivetran Agent",
    instructions:
      "You help users interact with Fivetran " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Fivetran?"
  );
  console.log(result.text);
}

main();
Fivetran
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fivetran MCP Server

Connect your Fivetran account to any AI agent and take full control of your automated data movement and ELT pipelines through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Fivetran tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Connector Orchestration — List all connectors within specific groups and retrieve detailed configuration, synced schema details, and setup states natively
  • Destination Auditing — Retrieve configuration details for destination databases or data warehouses connected to your groups to verify delivery boundaries
  • Group Management — List all groups (destinations) created in your Fivetran account and extract identifiers and creation metadata limitlessly
  • Sync State Monitoring — Identify precise active sync statuses and validate physical data movement progress across your organizational pipelines securely
  • User & Team Oversight — Enumerate all registered users and RBAC teams in the workspace to monitor access levels and administrative status flawlessy
  • Pipeline Discovery — Analyze specific localized variables decoding active data routes and extracting hidden structural constraints within your ELT flows
  • Resource Mapping — Retrieve complex structural arrays defining precisely which sources are mapped to which destinations globally across your account

The Fivetran MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Fivetran to Mastra AI via MCP

Follow these steps to integrate the Fivetran MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from Fivetran via MCP

Why Use Mastra AI with the Fivetran MCP Server

Mastra AI provides unique advantages when paired with Fivetran through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Fivetran without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Fivetran tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Fivetran + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Fivetran MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Fivetran, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Fivetran as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Fivetran on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Fivetran tools alongside other MCP servers

Fivetran MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Fivetran to Mastra AI via MCP:

01

get_connector

Get connector details

02

get_destination

Get destination for group

03

get_group

Get group details

04

list_connectors

List connectors in group

05

list_groups

List all groups

06

list_teams

List all teams

07

list_users

List all users

Example Prompts for Fivetran in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Fivetran immediately.

01

"List all Fivetran groups in my account"

02

"What is the status of connector 'conn_abc123'?"

03

"List all users in the Fivetran workspace"

Troubleshooting Fivetran MCP Server with Mastra AI

Common issues when connecting Fivetran to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Fivetran + Mastra AI FAQ

Common questions about integrating Fivetran MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Fivetran to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.