Hightouch (Reverse ETL) MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hightouch (Reverse ETL) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Hightouch (Reverse ETL) Assistant",
instructions=(
"You help users interact with Hightouch (Reverse ETL). "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hightouch (Reverse ETL)"
)
print(result.final_output)
asyncio.run(main())
* 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 Hightouch (Reverse ETL) MCP Server
Connect your Hightouch account to any AI agent and take full control of your Reverse ETL workflows and data synchronization through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from Hightouch (Reverse ETL) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Hightouch (Reverse ETL), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Sync Orchestration — List all data synchronization schedules and retrieve detailed metrics and schemas tied to specific syncs directly from your agent
- Run History — Extract historical execution states and success logs to monitor the performance and reliability of your sync runs
- Data Modeling — Audit SQL definitions bounding your warehouse analytics pipelines and inspect the data models driving your syncs
- Source Management — Enumerate active Data Warehouse connections and securely map inbound schemas from platforms like Snowflake or BigQuery
- Destination Audit — Identify connected SaaS nodes (Salesforce, HubSpot, Slack) receiving synchronized outbound objects from your warehouse
The Hightouch (Reverse ETL) MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Hightouch (Reverse ETL) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Hightouch (Reverse ETL) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Hightouch (Reverse ETL)
Why Use OpenAI Agents SDK with the Hightouch (Reverse ETL) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hightouch (Reverse ETL) through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Hightouch (Reverse ETL) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hightouch (Reverse ETL) MCP Server delivers measurable value.
Automated workflows: build agents that query Hightouch (Reverse ETL), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Hightouch (Reverse ETL), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hightouch (Reverse ETL) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hightouch (Reverse ETL) to resolve tickets, look up records, and update statuses without human intervention
Hightouch (Reverse ETL) MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Hightouch (Reverse ETL) to OpenAI Agents SDK via MCP:
get_sync
Get sync details
list_destinations
List all destinations
list_models
List all models
list_sources
List all sources
list_sync_runs
List sync runs
list_syncs
List all syncs
Example Prompts for Hightouch (Reverse ETL) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Hightouch (Reverse ETL) immediately.
"List all my current Hightouch syncs"
"Show me the last 5 runs for sync ID 'sync-001'"
"Which data sources are connected to our Hightouch account?"
Troubleshooting Hightouch (Reverse ETL) MCP Server with OpenAI Agents SDK
Common issues when connecting Hightouch (Reverse ETL) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hightouch (Reverse ETL) + OpenAI Agents SDK FAQ
Common questions about integrating Hightouch (Reverse ETL) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Hightouch (Reverse ETL) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Hightouch (Reverse ETL) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.