Fivetran FAQs

Question 1

What Fivetran operations can I manage with this tool?

Accepted Answer

You can list and manage Fivetran connections and groups, monitor detailed sync status, trigger on-demand data syncs (including historical resyncs or specific tables), control connection scheduling by pausing/resuming, and inspect/refresh connection schema visibility.

Question 2

What is Fivetran MCP and its primary purpose?

Accepted Answer

Fivetran MCP (Model Context Protocol) is a server designed to provide programmatic control over Fivetran data pipelines. It enables AI assistants, like Claude, to manage syncs, monitor connection status, and configure data sources through natural language commands or API calls.

Question 3

How do I set up and configure Fivetran MCP?

Accepted Answer

Setup involves obtaining your Fivetran API Key and Secret from your Fivetran dashboard, storing these credentials securely as environment variables (e.g., `FIVETRAN_API_KEY`, `FIVETRAN_API_SECRET`), and then configuring the MCP server within your AI assistant's or application's environment.

Question 4

Can Fivetran MCP help diagnose connection issues?

Accepted Answer

Yes, the tool includes a `test_connection` feature that allows you to run diagnostic tests. This helps in identifying and troubleshooting connectivity and configuration issues within your Fivetran data pipeline setups.

Question 5

Are there any limitations to what this tool can control via Fivetran's API?

Accepted Answer

Some Fivetran capabilities are not available via its REST API through this tool. These include detailed column data types, historical sync logs (which are typically streamed via Fivetran's Log Service), row-level sync status, and data quality metrics.

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