Fivetran Connector for AI agents.
7 live capabilities
Manage your ELT pipelines and data movement via natural language.
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Why people use Fivetran
Fivetran for ELT pipeline monitoring and auditing
This Connector puts that control into your chat. Instead of hunting for a specific connector's status in a complex UI, you just ask your agent to check the status of your Marketing group. You get the answer immediately, allowing you to stay focused on fixing the actual problem rather than finding the button to see it.
What Vinkius changes
This Fivetran MCP gives you a direct way to manage your data movement through a chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Failed Sync Debugging
An engineer asks the agent what's wrong with a PostgreSQL sync.
- Real-world use case 02
Security Auditing
An admin wants to know who has access to the Marketing group.
- Real-world use case 03
Mapping Verification
A data lead wants to confirm where the Product data is landing.
Complete set · 7capabilities
The complete Fivetran capability set.
These are the exact actions your AI can choose when you ask it to work with Fivetran.
01—04
4 capabilities in this set.
Part of 7 available through Fivetran.
- 01 Capability
List connectors
See all connectors in a specific group. This helps you quickly identify which sources are active.
- 02 Capability
Get connector
Pull specific details for a single connector. This is great for checking schema info or setup states.
- 03 Capability
List groups
Get a full list of groups in your account. This is perfect for high-level destination auditing.
- 04 Capability
Get group
Get details for a specific group. This helps you see which destinations are connected.
05—07
3 capabilities in this set.
Part of 7 available through Fivetran.
- 05 Capability
Get destination
Find the destination for a particular group. This clarifies where your data is actually landing.
- 06 Capability
List users
List all users in the workspace. This helps you manage your team's access and permissions.
- 07 Capability
List teams
List all teams in your Fivetran account. This helps you keep track of your team structures.
Set up in minutes
One URL. Then ask Fivetran to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fivetran from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Fivetran, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fivetran for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Fivetran URL.
- Step 03
Save and start
Save the connection and enable Fivetran in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fivetran": {
"url": "https://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Fivetran
Open Agent mode in chat and ask: "Using Fivetran, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fivetran": {
"url": "https://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Fivetran
Ask Copilot: "Using Fivetran, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fivetran": {
"url": "https://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Fivetran
Open Cascade and ask: "Using Fivetran, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fivetran": {
"url": "https://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Fivetran
Ask Cline: "Using Fivetran, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fivetran --transport http "https://edge.vinkius.com/vk_preview_CfCijjhMwmziJaxdFkdXqiEmo2KdsMu71CmVcvgO/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Fivetran
Ask Claude: "Using Fivetran, show me...". 7 tools are ready
Where the request belongs
Work Fivetran can move forward.
This is for the data engineer who's tired of clicking through dashboards at 2am to find a failed sync, or the IT admin who needs to audit user permissions across dozens of data pipelines quickly.
Data Engineer
Monitors active syncs and debugs connector configurations during production deployments.
Analytics Lead
Verifies that the correct data sources are mapped to the correct warehouse destinations.
IT Administrator
Performs regular security audits of workspace teams and user access levels.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPortable.io
Manage your Portable ETL pipelines directly via your AI agent. monitor flows, sync runs, and destination details seamlessly.
Hevo Data (ETL & Data Pipeline)
Manage data pipelines via Hevo. list pipelines, monitor destinations, and track usage.
Integrate.io (ETL & Data Integration)
Manage data pipelines via Integrate.io. list pipelines, monitor job runs, and audit data transformations.
Hightouch (Reverse ETL)
Synchronize data via Hightouch. list syncs, monitor runs, and manage data models.
Matillion (Cloud Data Integration & ELT)
Manage data pipelines via Matillion. audit ETL workflows, track execution statuses, and monitor cloud environments.
Stitch Data
Automate data pipelines via Stitch. manage sources, destinations, and push data directly to your warehouse from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Fivetran connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Fivetran.
The practical details behind the request, access and result.
How does the Fivetran MCP help with data integration?
It gives your AI agent the ability to read your Fivetran configurations. You can ask it to check sync statuses or list your connectors without leaving your workspace.
Can I use Fivetran MCP to audit my user permissions?
Yes. You can ask your agent to list all users and teams to see who has access to your data pipelines and what roles they hold.
Does Fivetran MCP work with my data warehouse?
This Connector manages the Fivetran side of your data movement. It lets you see where your data is being sent and the status of the connectors moving it.
How do I check if my ELT pipelines are running correctly?
You can ask your agent to check the sync status of specific connectors. It will pull the real-time status and tell you if any errors occurred during the last run.
Can I see my Fivetran destination settings using this Connector?
Yes. You can use the Connector to retrieve configuration details for your connected destinations, helping you verify where your data is landing.
Is the Fivetran MCP good for data engineers?
It's built for people who need fast answers. Instead of clicking through the Fivetran UI, engineers can use natural language to monitor syncs and debug configurations.
Can my agent list all connectors in a specific Fivetran group?
Yes. Use the 'list_connectors' capability. Provide the Group ID, and the agent will return a list of all connectors configured within that destination group, including their unique IDs and statuses.
How do I check the details of a specific data destination via chat?
Use the 'get_destination' capability. Provide the Group ID. Your agent will retrieve configuration details about the database or data warehouse connected to that group, providing clear boundary information natively.
Can I audit users and their roles in my Fivetran workspace through the agent?
Absolutely. Use the 'list_users' capability. The agent retrieves all registered users in your workspace with their assigned roles and current statuses, allowing for organizational administrative auditing natively.
One connection away
Give your agent a direct line to Fivetran.
Connect Fivetran once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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