Airbyte MCP
The Airbyte MCP connects an agent to an Airbyte organization: pipelines, syncs, job logs and direct data reads.
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Broad access
Why this level
- The agent deploys connectors, changes connections and starts syncs with your permissions.
- Live records from sources and destinations go into the model context.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add mcp/airbyte-mcpDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewBroad accessThe tool can change data, run commands or handle secrets.
- The agent deploys connectors, changes connections and starts syncs with your permissions.
- Live records from sources and destinations go into the model context.
This is third-party code. Review the repository files before installing.
What it does
The Airbyte MCP is a server that connects AI agents to your Airbyte organization. The agent works with the same permissions you have. The hosted server is at `https://mcp.airbyte.com/mcp` and sign-in uses OAuth with an Airbyte Cloud account. The agent builds and runs pipelines: it deploys sources and destinations, creates connections, selects streams and starts syncs. It troubleshoots failures: checks sync status and reads job logs and connector configurations. Direct reads fetch live records from supported sources and query supported destinations without waiting for a sync. Connector skills describe entities, actions and parameters, and search covers the Airbyte documentation.
Who it is for. Data engineers running pipelines in Airbyte Cloud or Flex who want to build, fix and query them from Claude, ChatGPT or VS Code with Copilot.
Good fit when
- A sync failed overnight and the agent reads the job log and the connector configuration.
- A new connection is assembled in words: source, destination, selected streams and the first run.
- Live records from a source are read directly without waiting for a sync.
- The agent finds connector setup in the Airbyte documentation and explains the parameters.
Not a fit when
- There is no Airbyte Cloud or Flex organization: the hosted server works with a cloud account.
- Self-managed Airbyte Core is used: the documentation says local deployments have known issues.
- The agent must not start syncs or change connections: it has your account permissions.
Example request
Show the status of recent syncs, find the failed one, read the job log and explain the cause.MCP
- Transport
- http
- Authentication
- OAuth
Limitations
The hosted server works with all editions of Airbyte Cloud and Airbyte Flex. Running it yourself with Airbyte Core is possible, but the documentation says local deployments have known issues. Direct reads are read-only and available for supported connectors after an organization admin enables the context layer. They do not work with connectors whose secrets live in an external secrets manager. The agent acts with your permissions, so it can start syncs and change connections.
How to disable. Remove the server from the client settings and revoke OAuth access in the Airbyte account. Pipelines and connections stay in the organization.
FAQ
Which address to connect?
`https://mcp.airbyte.com/mcp` with OAuth sign-in using an Airbyte Cloud account. Client instructions are in the `airbyte-mcp/install` documentation.
Does it work with Airbyte Core?
You can run it locally with self-managed Airbyte Core, but local deployments have known issues.
What does direct reading do?
It shows live records from supported sources and queries destinations without a sync. An admin must enable the context layer.
What permissions does the agent have?
The same as you in Airbyte: it builds pipelines, starts syncs and reads logs within your roles.
Where is the full tool list?
In the Airbyte documentation on the `airbyte-mcp/tools` page.
Discussion
No questions or reviews yet.
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README in short
The PyAirbyte README has a separate Airbyte MCP section: what the agent can do, direct read limits, the server address and links to installation and the tool list.