Fivetran MCP Server

<!-- mcp-name: io.github.YimingYAN/fivetran-mcp -->

Note: This repository is built and maintained entirely by Claude Code, Anthropic's AI coding assistant.

An MCP (Model Context Protocol) server for controlling Fivetran data pipelines. Enables AI assistants like Claude to manage syncs, monitor connection status, and control data pipelines through natural language.

Features

• List connections - View all Fivetran connections with status
• Check sync status - Get detailed status for any connection including tasks and warnings
• Trigger syncs - Start syncs on demand
• Historical resync - Trigger full data resync or resync specific tables
• Pause/Resume - Control connection scheduling
• List groups - View all destination groups
• Test connection - Diagnose connectivity and configuration issues
• Schema visibility - View schemas, tables, and columns for any connection
• Reload schema - Refresh schema configuration from the source

Quick Start

Step 1: Get Fivetran API Credentials

1. Log in to Fivetran Dashboard
2. Click your username (top right corner)
3. Click API Key
4. Click Generate API key
5. Copy both the API Key and API Secret (secret shown only once!)

See Fivetran API Getting Started for more details.

Step 2: Store Credentials

Add to your ~/.env.local (or equivalent):

# Fivetran API
export FIVETRAN_API_KEY="your-api-key"
export FIVETRAN_API_SECRET="your-api-secret"

Then reload:

source ~/.env.local

Step 3: Verify Credentials

Test that your credentials work:

curl -s -X GET "https://api.fivetran.com/v1/account/info" \
  -H "Accept: application/json" \
  -H "Authorization: Basic $(echo -n "$FIVETRAN_API_KEY:$FIVETRAN_API_SECRET" | base64)"

Expected response:

{"code":"Success","data":{"account_id":"...","account_name":"..."}}

Step 4: Configure Claude Code

Add to your ~/.claude.json:

{
  "mcpServers": {
    "fivetran": {
      "type": "stdio",
      "command": "uvx",
      "args": ["fivetran-mcp@latest"],
      "env": {
        "FIVETRAN_API_KEY": "${FIVETRAN_API_KEY}",
        "FIVETRAN_API_SECRET": "${FIVETRAN_API_SECRET}"
      }
    }
  }
}

Step 5: Restart Claude Code

Restart Claude Code to load the new MCP server. You should now have access to Fivetran tools.

Available Tools

Connection Management

Tool	Description
list_connections	List all connections, optionally filtered by group
get_connection_status	Get detailed status including tasks, warnings, and sync details
trigger_sync	Start a sync for a connection (optional force flag)
trigger_resync	Trigger full historical resync
resync_tables	Resync specific tables only (e.g., ["schema.table_name"])
pause_connection	Pause a connection
resume_connection	Resume a paused connection
list_groups	List all groups/destinations
test_connection	Run diagnostic tests to identify connectivity/configuration issues

Schema & Table Visibility

Tool	Description
get_connection_schema	Get schema info with optional table filter (includes columns when filtering)
get_schema	Get complete raw schema configuration for a connection
list_tables	List all tables with enabled status and sync mode
get_table_columns	Get column details for a specific table
reload_schema	Refresh schema configuration from the source

Limitations

The following capabilities are not available via Fivetran's REST API:

Capability	Status	Notes
Column data types	Not available	Query your destination database directly for type info
Sync history/logs	Not available	Fivetran uses Log Service which streams to external destinations
Detailed error logs for past syncs	Not available	Only current tasks/warnings are accessible
Row-level sync status	Not available	Not exposed via API
Data quality metrics	Not available	Not exposed via API

For sync logs and historical data, consider setting up Fivetran's Log Service to stream logs to your data warehouse.

Environment Variables

The server supports two naming conventions:

Preferred	Alternative
FIVETRAN_API_KEY	FIVETRAN_SYNC_API_KEY
FIVETRAN_API_SECRET	FIVETRAN_SYNC_API_SECRET

Development

# Clone the repository
git clone https://github.com/YimingYAN/fivetran-mcp.git
cd fivetran-mcp

# Install dependencies
uv sync

# Run the server locally
uv run fivetran-mcp

Cloud Deployment

Cloudflare Workers (Free)

Deploy to Cloudflare Workers for a hosted MCP endpoint:

cd cloudflare
uv tool install workers-py
npx wrangler login
npx wrangler secret put FIVETRAN_API_KEY
npx wrangler secret put FIVETRAN_API_SECRET
uv run pywrangler deploy

See cloudflare/README.md for detailed instructions.

License

MIT