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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
yimingyan avatar

Fivetran Mcp

yimingyan/fivetran-mcp
1authSTDIOregistry active
Summary

Wraps the Fivetran REST API so you can manage data pipelines through Claude. You get the full operational toolkit: list connections and groups, check sync status with warnings and tasks, trigger syncs or historical resyncs for specific tables, pause and resume connections, and reload schemas from sources. It also exposes schema visibility with tools to inspect tables and columns. The setup requires a Fivetran API key and secret, which you pass through environment variables. If you're already running Fivetran connectors and want to kick off syncs, debug stuck pipelines, or inspect what's actually being ingested without opening the dashboard, this gives you that control through conversation.

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Fivetran MCP Server

PyPI version License: MIT Python 3.10+ Built by Claude Code

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

ToolDescription
list_connectionsList all connections, optionally filtered by group
get_connection_statusGet detailed status including tasks, warnings, and sync details
trigger_syncStart a sync for a connection (optional force flag)
trigger_resyncTrigger full historical resync
resync_tablesResync specific tables only (e.g., ["schema.table_name"])
pause_connectionPause a connection
resume_connectionResume a paused connection
list_groupsList all groups/destinations
test_connectionRun diagnostic tests to identify connectivity/configuration issues

Schema & Table Visibility

ToolDescription
get_connection_schemaGet schema info with optional table filter (includes columns when filtering)
get_schemaGet complete raw schema configuration for a connection
list_tablesList all tables with enabled status and sync mode
get_table_columnsGet column details for a specific table
reload_schemaRefresh schema configuration from the source

Limitations

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

CapabilityStatusNotes
Column data typesNot availableQuery your destination database directly for type info
Sync history/logsNot availableFivetran uses Log Service which streams to external destinations
Detailed error logs for past syncsNot availableOnly current tasks/warnings are accessible
Row-level sync statusNot availableNot exposed via API
Data quality metricsNot availableNot 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:

PreferredAlternative
FIVETRAN_API_KEYFIVETRAN_SYNC_API_KEY
FIVETRAN_API_SECRETFIVETRAN_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

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Configuration

FIVETRAN_API_KEY*secret

Fivetran API key

FIVETRAN_API_SECRET*secret

Fivetran API secret

Categories
Data & Analytics
Registryactive
Packagefivetran-mcp
TransportSTDIO
AuthRequired
UpdatedFeb 1, 2026
View on GitHub

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