Fivetran

Integrates with Fivetran's REST API to manage data pipelines through user invitations, connection discovery, and sync operations with automated unpausing and forced synchronization capabilities.

This MCP server provides Fivetran data pipeline management through the Fivetran REST API, enabling AI assistants to invite users, list connections, and trigger data syncs programmatically. Built using Python with FastMCP and the requests library, it offers three core tools for user management (invite_fivetran_user with email, name, and phone parameters), connection discovery (list_connections returning comma-separated connection IDs), and sync operations (sync_connection that unpauses and forces synchronization by connection ID). The implementation features environment-based authentication via FIVETRAN_AUTH_TOKEN, comprehensive logging, and includes both a standalone Fivetran connector SDK component and the main MCP server, making it valuable for data pipeline automation workflows, team onboarding processes, and building AI assistants that need programmatic access to Fivetran's data integration platform without manual dashboard navigation.