Does this work with Airbyte Cloud and Self-Hosted Enterprise instances?

Yes. You are required to pass the URL parameter during setup. You can use 'https://api.airbyte.com/v1' for Airbyte Cloud, or point it directly to your private self-hosted API endpoint hostname.

Can the agent create new connections or trigger sync jobs automatically?

Currently, this core MCP exposes read-only tools designed to safely list, track, and monitor your infrastructure without accidentally mutating mission-critical data warehouse state during conversational usage.

How do I find a specific Connection ID to check its jobs?

Simply ask the agent to run the list connections tool first! It will output all active connections alongside their UUIDs, which you can then ask the agent to dive deeper into.

Airbyte MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Name: Airbyte
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Airbyte through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Airbyte Assistant",
            instructions=(
                "You help users interact with Airbyte. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Airbyte"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Airbyte MCP Server

Connect your Airbyte data integration instance to your AI agent to unlock conversational monitoring for your ETL/ELT pipelines. Let your agent audit your modern data stack automatically without touching the dashboard.

The OpenAI Agents SDK auto-discovers all 7 tools from Airbyte through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Airbyte, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Monitor Connections — Retrieve the full list of your configured connections linking sources to destinations
Track Jobs — View historical synchronization runs, success rates, and identify failing sync jobs instantly
Audit Sources & Destinations — List all your active data origins (like Postgres, Stripe) and targets (Snowflake, BigQuery)
Granular Inspection — Fetch detailed UUID configuration and statuses for a specific source or active connection
Workspace Analytics — Verify your active Airbyte workspaces and general environment configurations

The Airbyte MCP Server exposes 7 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 Airbyte to OpenAI Agents SDK via MCP

Follow these steps to integrate the Airbyte 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 7 tools from Airbyte

Why Use OpenAI Agents SDK with the Airbyte MCP Server

OpenAI Agents SDK provides unique advantages when paired with Airbyte 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

Airbyte + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Airbyte MCP Server delivers measurable value.

Automated workflows: build agents that query Airbyte, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Airbyte, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Airbyte tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Airbyte to resolve tickets, look up records, and update statuses without human intervention

Airbyte MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Airbyte to OpenAI Agents SDK via MCP:

get_connection

Get details of a specific Airbyte connection

get_source

Get details of a specific Airbyte source

list_connections

List all Airbyte sync connections

list_destinations

List all Airbyte destinations

list_jobs

List synchronization jobs for a connection

list_sources

List all Airbyte sources

list_workspaces

List workspaces

Example Prompts for Airbyte in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Airbyte immediately.

"Get the sync history and job status for connection ID `e5f1b2c3...` to see if the nightly run failed."

"Show me all the configured data destinations in our primary Airbyte workspace."

"List all active Airbyte connections handling our Stripe source."

Troubleshooting Airbyte MCP Server with OpenAI Agents SDK

Common issues when connecting Airbyte to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Airbyte + OpenAI Agents SDK FAQ

Common questions about integrating Airbyte MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.