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How to Use the Hightouch (Reverse ETL) MCP in Google ADK

Feed your Google ADK enterprise agents live Hightouch pipeline data via this MCP Server to monitor operational syncs.

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Google ADK

Connect Hightouch (Reverse ETL) MCP to Google ADK

Create your Vinkius account to connect Hightouch (Reverse ETL) 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.

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Connect Gemini to your active data pipelines

Google ADK Gemini agents inspect active data pipelines using `list_syncs` to track operational flows. With access to real-time sync states via Gemini, your model can answer operational questions about Hightouch pipeline health instantly. Because Gemini handles massive context windows, your Google ADK agent can process the entire output of `list_sync_runs` at once. It detects long-term performance trends and recurring transient errors across hundreds of previous Hightouch runs.

Reconcile BigQuery sources with downstream targets

Your Google ADK agent reconciles data lineage by calling `list_sources` and `list_models` to verify schema alignment. This ensures that your BigQuery warehouse tables match the SQL models defined in your Hightouch setup. This MCP Server lets the Google ADK agent cross-reference these sources with target systems retrieved via `list_destinations`. You get instant validation that your BigQuery business intelligence matches operational Hightouch reality.

Enterprise pipeline auditing with Google ADK

The Google ADK agent audits pipeline configurations using `get_sync` to verify that data rules match compliance standards. It automatically flags Hightouch syncs that might be routing sensitive fields to unauthorized targets. Analyzing structural metadata via Google ADK helps your data governance team maintain clean pipelines. The Gemini model generates a clear audit trail of your entire Hightouch data footprint.

Setup guide

Set up Hightouch (Reverse ETL) 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Hightouch (Reverse ETL) 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="Hightouch (Reverse ETL)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hightouch (Reverse ETL) tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hightouch. 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 Hightouch (Reverse ETL) MCP in Google ADK

Install the package and use the `McpToolset` class with your Vinkius HTTP URL. Pass that MCP toolset to your `LlmAgent` instance to give Gemini access to all six monitoring tools.
Yes, you can use the optional `tool_names` filter in your setup. This allows you to expose only `list_sync_runs` and `get_sync` to keep the agent focused purely on run history.
No, Vinkius hosts the server in a secure cloud sandbox. Your Google ADK code connects directly to the hosted endpoint, eliminating local infrastructure overhead.
Gemini's long-context window easily processes the extensive arrays returned by `list_sync_runs`. The agent analyzes dozens of historical runs simultaneously to detect intermittent network failures or API rate limits.
Your actual customer records are never touched by this integration. The toolset only accesses configuration metadata, source schemas, and run histories, keeping your underlying warehouse data safe within Google Cloud.

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