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Fivetran MCP Server for Google ADK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Fivetran as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="fivetran_agent",
    instruction=(
        "You help users interact with Fivetran "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)
Fivetran
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* 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.

Google ADK natively supports Fivetran as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Fivetran MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 7 tools from Fivetran via MCP

Why Use Google ADK with the Fivetran MCP Server

Google ADK provides unique advantages when paired with Fivetran through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Fivetran

03

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

04

Seamless integration with Google Cloud services means you can combine Fivetran tools with BigQuery, Vertex AI, and Cloud Functions

Fivetran + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Fivetran MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Fivetran and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Fivetran tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Fivetran regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Fivetran

Fivetran MCP Tools for Google ADK (7)

These 7 tools become available when you connect Fivetran to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Fivetran to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Fivetran + Google ADK FAQ

Common questions about integrating Fivetran MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Fivetran to Google ADK

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