Use Airbyte with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Get instant status reports on your entire data stack.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 7 capabilities
The complete Airbyte capability set.
These are the exact actions your AI can choose when you ask it to work with Airbyte.
01-04
4 capabilities in this set.
Part of 7 available through Airbyte.
- 01
List destinations
List all Airbyte destinations
- 02
Get connection
Get details of a specific Airbyte connection
- 03
List workspaces
List workspaces
- 04
Get source
Get details of a specific Airbyte source
05-07
3 capabilities in this set.
Part of 7 available through Airbyte.
- 05
List connections
List all Airbyte sync connections
- 06
List jobs
List synchronization jobs for a connection
- 07
List sources
List all Airbyte sources
Observed, not estimated
866ms average. Fast in production.
Airbyte is checked daily against the live service.
- Fastest day
- 668ms
- Slowest day
- 1011ms
- 14-day trend
- Slowing+35%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Airbyte, so you can see the experience inside your AI.
It does not authenticate your account with Airbyte. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Airbyte Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kgXiIzpv5q1J0jVsAZFbdBFrOMj4hvFkvkI8Eu13/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Airbyte capabilities are ready to use.
{
"mcpServers": {
"airbyte-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kgXiIzpv5q1J0jVsAZFbdBFrOMj4hvFkvkI8Eu13/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work Airbyte owners hand off.
This MCP is essential for data engineers and analytics teams who need constant visibility into their ETL/ELT pipelines. Instead of spending time clicking through dashboards, your agent handles the monitoring, giving you immediate answers about data flow status and potential failures.
- 01
Data Engineers
Use the agent to check yesterday's sync job success rate or debug a failing database connection.
- 02
Analytics Engineers
Quickly list configured warehouse destinations and verify infrastructure paths for new projects.
- 03
Data Analysts
Get a high-level summary of all active data sources pumping data into the main data lake.
FAQ
Questions Airbyte owners ask.
- 01
Does this MCP require me to have an Airbyte instance?
Yes, this connector is designed to monitor an existing Airbyte data integration instance. You must provide the API URL and API Key for your specific Airbyte setup.
- 02
Can I use this to see which data sources I have?
Yes. You can ask the agent to list all available data origins, such as Postgres or Stripe, using the list_sources capability. This gives you a complete inventory of your data inputs.
- 03
Is this better than checking the Airbyte dashboard?
It's faster. Instead of navigating menus, you simply ask your AI client a question, and the agent returns a direct, conversational answer about the pipeline status.
- 04
What kind of data can I get about job history?
You can view historical synchronization runs, including success rates and identifying specific jobs that failed. This helps you debug why data might be missing.
- 05
What if I need to check multiple workspaces?
You can first use the list_workspaces capability to see all available environments, and then direct the agent to check the status within a specific workspace.
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