How to Use the Hightouch (Reverse ETL) MCP in AutoGen

Q: Can AutoGen agents manage Hightouch (Reverse ETL) syncs?

They can inspect them using listsyncs and getsync. Your agents can then discuss the current health of your pipelines and decide on the next step.

Q: What happens if my AutoGen agents find a Hightouch (Reverse ETL) error?

The agents can discuss the error code returned by listsyncruns. They'll decide whether to notify you or try a specific resolution path based on the error type.

Let your AutoGen agents debate and execute data ops using the Hightouch (Reverse ETL) MCP server.

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Connect Hightouch (Reverse ETL) MCP to AutoGen

Create your Vinkius account to connect Hightouch (Reverse ETL) to AutoGen 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 Hightouch (Reverse ETL) with AutoGen

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Automated sync debates in AutoGen

Task a group of agents with monitoring your pipeline health using `list_sync_runs`. One agent checks for failures while another proposes a fix based on the run details. They reach a consensus on whether to alert an engineer or trigger a retry. It removes the human bottleneck from routine monitoring.

Negotiate sync changes via AutoGen

Use `list_syncs` to let your agents audit your current sync configurations. If one agent spots a mismatch in model mapping, it flags the issue to the architect agent. They resolve the configuration conflict before you even see the error. It's a proactive way to handle pipeline drift.

Verify destinations with AutoGen

Your agents use `list_destinations` to verify your target endpoints. They cross-reference these against your source requirements to ensure valid data paths. If a destination is missing or misconfigured, the agents debate the best path forward. You get a finished plan instead of a list of errors.

Setup guide

Set up Hightouch (Reverse ETL) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Hightouch (Reverse ETL) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Hightouch (Reverse ETL)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hightouch (Reverse ETL) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Hightouch (Reverse ETL)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hightouch (Reverse ETL) data")
    print(result.messages[-1].content)

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 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 AutoGen

They can inspect them using `list_syncs` and `get_sync`. Your agents can then discuss the current health of your pipelines and decide on the next step.

Add the MCP tools to your AssistantAgent constructor. Once the agents have access to `list_sync_runs`, they can begin monitoring your sync activity automatically.

The agents can discuss the error code returned by `list_sync_runs`. They'll decide whether to notify you or try a specific resolution path based on the error type.

Vinkius manages all authentication. Your agents interact with the tools through a secure, ephemeral session, keeping your credentials out of the agent's memory.

The server only exposes pipeline metadata like sync status and model names. It never processes the actual data payloads, ensuring your sensitive business information stays within your warehouse.

Use it with your favorite AI tools

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