How to Use the Hightouch (Reverse ETL) MCP in CrewAI
Deploy a CrewAI team to autonomously monitor, diagnose, and report on your Hightouch data pipelines. Set it and forget it.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hightouch (Reverse ETL) MCP to CrewAI
Create your Vinkius account to connect Hightouch (Reverse ETL) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
The Pipeline Monitoring Crew
This is what multi-agent systems are for. Assign a 'Monitor' agent to periodically call `list_syncs` and `list_sync_runs`. Its only job is to watch for a 'failed' status. When it spots a failure, it passes the sync and run IDs to a 'Diagnostician' agent. That agent uses `get_sync` to pull the full error log, determines the likely cause, and hands a concise summary to a 'Reporter' agent for posting in Slack. This is autonomous operations in action.
Autonomous Configuration Auditing
Prevent sync failures before they happen. Deploy a 'Guardian' agent whose sole purpose is to audit your Hightouch setup using this MCP server. It periodically calls `list_sources`, `list_models`, and `list_destinations` to create a snapshot of your configuration. If a data model schema changes or a destination is unexpectedly removed, it flags the change and creates an issue for the data team.
A CrewAI Team for Data Governance
Your CrewAI agents can now enforce data governance rules. An 'Auditor' agent can use `list_syncs` to check that all syncs follow required naming conventions. Meanwhile, a 'Gatekeeper' agent can cross-reference the output of `list_models` and `list_destinations`. This MCP server gives your crew the visibility they need to verify that no models tagged with 'PII' are being synced to destinations that aren't certified for sensitive data.
Set up Hightouch (Reverse ETL) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Hightouch (Reverse ETL) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Hightouch (Reverse ETL) Analyst",
goal="Access and analyze Hightouch (Reverse ETL) data via MCP.",
backstory="Expert analyst with direct Hightouch (Reverse ETL) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Hightouch (Reverse ETL) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Hightouch (Reverse ETL) Analyst",
goal="Access and analyze Hightouch (Reverse ETL) data via MCP.",
backstory="Expert analyst with direct Hightouch (Reverse ETL) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Hightouch (Reverse ETL) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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