io.github.YimingYAN/fivetran-mcp

Name: io.github.YimingYAN/fivetran-mcp
Rating: 0.1 (2 reviews)
Author: yimingyan

平台与服务

by yimingyan

面向 Fivetran API 的 MCP server，可管理 syncs、检查运行状态，并控制数据管道的执行流程。

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什么是 io.github.YimingYAN/fivetran-mcp？

面向 Fivetran API 的 MCP server，可管理 syncs、检查运行状态，并控制数据管道的执行流程。

README

Fivetran MCP Server

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

Log in to Fivetran Dashboard
Click your username (top right corner)
Click API Key
Click Generate API key
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):

bash

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

Then reload:

bash

source ~/.env.local

Step 3: Verify Credentials

Test that your credentials work:

bash

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:

json

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

Step 4: Configure Claude Code

Add to your ~/.claude.json:

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

bash

# 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:

bash

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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