How to Use the Fivetran MCP in Google ADK

Q: Can I use Gemini long-context to analyze Fivetran logs with Google ADK?

Yes, you can feed the outputs of getconnector and listgroups into Gemini's massive context window. This allows the model to spot trends and anomalies across your entire data movement setup.

Q: How do I restrict which Fivetran tools Google ADK can run?

Use the optional toolnames filter when initializing your McpToolset. This limits your agent to harmless read operations like listconnectors and blocks access to user management tools.

Connect Google ADK agents to Fivetran pipelines to inspect sync statuses and BigQuery destinations directly.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Fivetran MCP to Google ADK

Create your Vinkius account to connect Fivetran to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Fivetran with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit pipeline health with Google ADK

The `list_connectors` and `get_connector` tools let your Google ADK agent analyze sync histories across your warehouse. Gemini uses its long-context window to evaluate hundreds of connector states via the MCP standard. You can route this data directly to Vertex AI or BigQuery monitoring tables. The agent reads these Fivetran endpoints using this MCP Server, keeping your data operations context-aware without manual JSON parsing.

Verify warehouse destinations in real time

The `get_destination`, `list_groups`, and `get_group` tools expose the target configurations where your data ingestion lands. Your Google ADK agent calls these tools to match source systems with active BigQuery datasets. Because Gemini holds up to one million tokens, it can map complex enterprise topologies in a single prompt. This MCP Server integration provides the live structure your agent needs to confirm that data flows to the correct cloud storage buckets.

Map user access lists across teams

The `list_users` and `list_teams` tools provide a complete view of account permissions directly to your Google ADK environment. Your Google ADK setup queries these lists to flag orphan accounts or unauthorized changes in team structures. Security officers use this automated lookup to run compliance checks on Fivetran configurations. This MCP Server ensures your IAM audits happen programmatically, reducing human error in your cloud governance workflow.

Setup guide

Set up Fivetran MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Fivetran tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Fivetran_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fivetran tools via MCP.",
    tools=mcp_tools,
)

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 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.

Why Choose Vinkius

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

Connect Fivetran now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Fivetran MCP in Google ADK

The ADK does not store or manage your credentials directly. Instead, Vinkius handles the Fivetran API token securely, passing a single endpoint to your `McpToolset` in Python.

Yes, you can feed the outputs of `get_connector` and `list_groups` into Gemini's massive context window. This allows the model to spot trends and anomalies across your entire data movement setup.

Use the optional `tool_names` filter when initializing your `McpToolset`. This limits your agent to harmless read operations like `list_connectors` and blocks access to user management tools.

Yes, the toolset supports both transport layers. For cloud-hosted environments, the HTTP transport is recommended to connect your agent to the managed endpoint.

User lists and team directories remain isolated within Vinkius's ephemeral V8 sandboxes. Your API keys are encrypted at rest and never exposed to the LLM or stored in Google Cloud logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript