Stitch Data Connector for AI agents.

21 live capabilities

Manage ETL pipelines and warehouse data ingestion from your AI client.

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AI Agent

Why people use Stitch Data

Stitch Data for Automated ETL Pipeline Management

This Connector lets you handle those tasks in one place. You can ask your agent to list all your sources, trigger a manual sync, or push a batch of records. You get your data moving faster without the context switching.

What Vinkius changes

You get a voice-controlled dashboard for your entire ETL pipeline.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

Debugging a failed sync

An engineer asks the agent to check list_loads and list_extractions to see why a Redshift load failed during the nightly run.
Real-world use case 02

Ad-hoc data push

An analyst wants to push a CSV of new user records to a table and asks the agent to use push_import_data to get them in quickly.
Real-world use case 03

Quick source audit

A manager asks the agent to list_sources to see which third-party apps are currently connected to the Stitch account.

Complete set · 21capabilities

The complete Stitch Data capability set.

These are the exact actions your AI can choose when you ask it to work with Stitch Data.

Capability set01 / 06

01—04

4 capabilities in this set.

Part of 21 available through Stitch Data.

01 Capability
Create ephemeral session
Generate a temporary token for the Connect JavaScript client. This keeps your session secure.
02 Capability
Delete destination
Remove a destination from your configured list. Use this to clean up old warehouse targets.
03 Capability
Create destination
Configure a new warehouse destination for your account. This helps you set up where your data lands.
04 Capability
Create source
Create a new data source to bring in external information. Use this to add new apps to your pipeline.

Capability set02 / 06

05—08

4 capabilities in this set.

Part of 21 available through Stitch Data.

05 Capability
Delete source
Delete a source you no longer need. This removes the connection from your Stitch account.
06 Capability
Get import status
Check if the Stitch Import API is currently operating correctly. It is a quick way to verify system health.
07 Capability
List destination types
See which warehouse types like Snowflake or S3 are available. This helps you choose the right target.
08 Capability
List destinations
View all the destinations you have already configured. This gives you a quick overview of your targets.

Capability set03 / 06

09—12

4 capabilities in this set.

Part of 21 available through Stitch Data.

09 Capability
List extractions
See a list of the most recent extraction jobs. Use this to track progress on your data pulls.
10 Capability
List loads
View the history of recent data loading attempts. This is perfect for debugging failed imports.
11 Capability
List source types
See all the different types of sources you can connect. Use this to explore what data you can bring in.
12 Capability
List sources
See every data source currently linked to your account. This helps you audit your active connections.

Capability set04 / 06

13—15

3 capabilities in this set.

Part of 21 available through Stitch Data.

13 Capability
List streams
See the tables and streams available within a specific source. Use this to see what data is ready to sync.
14 Capability
Push import batch
Push a batch of records for a single table to the Import API. This is best for keeping your data types consistent.
15 Capability
Push import data
Push data for one or more tables to the Import API without schema enforcement. Use this for rapid data loading.

Capability set05 / 06

16—18

3 capabilities in this set.

Part of 21 available through Stitch Data.

16 Capability
Start sync
Manually trigger a replication job for your data. Use this to force an update on a specific source.
17 Capability
Update destination
Change the settings for an existing destination. Use this to modify your warehouse configurations.
18 Capability
Update source
Update, pause, or unpause a specific data source. This gives you quick control over your active streams.

Capability set06 / 06

19—21

3 capabilities in this set.

Part of 21 available through Stitch Data.

19 Capability
Update stream metadata
Select specific streams and fields for your replication. This lets you control exactly what data gets synced.
20 Capability
Validate import data
Test your credentials and formatting without saving any data. This is a safe way to check your setup.
21 Capability
Create account
Create a new Stitch client account using partner credentials. This is for partner-level account management.

Set up in minutes

One URL. Then ask Stitch Data to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Stitch Data from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Stitch Data for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data URL.
Step 03

Save and start

Save the connection and enable Stitch Data in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "stitch-data": {
      "url": "https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data

Open Agent mode in chat and ask: "Using Stitch Data, help me...". 21 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "stitch-data": {
      "url": "https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data

Ask Copilot: "Using Stitch Data, help me...". 21 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "stitch-data": {
      "url": "https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data

Open Cascade and ask: "Using Stitch Data, help me...". 21 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "stitch-data": {
      "url": "https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data

Ask Cline: "Using Stitch Data, help me...". 21 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add stitch-data --transport http "https://edge.vinkius.com/vk_preview_mABPCZrnZTeawQZOSWTl9iyadYUD2LtJD9LLWWGw/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 Stitch Data

Ask Claude: "Using Stitch Data, show me...". 21 tools are ready

Where the request belongs

Work Stitch Data can move forward.

Built around the request

Data engineers who are tired of clicking through dozens of tabs to check sync statuses or push small batches of data for testing.

01

Data Engineer

Handles source configuration and debugs failed loads in the terminal.

02

Analytics Engineer

Pushes custom data batches for ad-hoc reporting.

03

Data Product Manager

Monitors the health of pipelines across different client accounts.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 6 capabilities

Portable.io

Manage your Portable ETL pipelines directly via your AI agent. monitor flows, sync runs, and destination details seamlessly.

02 6 capabilities

Hevo Data (ETL & Data Pipeline)

Manage data pipelines via Hevo. list pipelines, monitor destinations, and track usage.

03 6 capabilities

Integrate.io (ETL & Data Integration)

Manage data pipelines via Integrate.io. list pipelines, monitor job runs, and audit data transformations.

04 7 capabilities

Fivetran

Manage data movement via Fivetran. monitor connectors and destinations, handle groups, track sync states, and audit users directly from any AI agent.

05 6 capabilities

Matillion (Cloud Data Integration & ELT)

Manage data pipelines via Matillion. audit ETL workflows, track execution statuses, and monitor cloud environments.

06 6 capabilities

Hightouch (Reverse ETL)

Synchronize data via Hightouch. list syncs, monitor runs, and manage data models.

Bring your own AI

Change the model, client or framework. Keep Stitch Data connected.

Before you connect

Questions about Stitch Data.

The practical details behind the request, access and result.

Can I use Stitch Data MCP to manage my data sources?

Yes, you can list, create, and update all your data sources through your AI client. This allows you to manage your connections without leaving your workspace.

How does this help with data ingestion?

It lets you push data batches directly to your warehouse and check the status of those imports in real time. You can handle both manual pushes and automated syncs.

Can I use this to check my sync status?

Yes, you can ask your agent to show you the latest extraction logs or load attempts to see if your data is moving. It provides a quick way to debug pipeline issues.

Is it safe to test my credentials?

You can use the validation capability to check your import settings without actually saving any data to your warehouse. It's a great way to verify your setup safely.

Can I trigger a manual sync?

Yes, you can tell your agent to start a replication job for any of your connected sources immediately. This is helpful for forcing updates on time-sensitive data.

Does this work with Snowflake and Redshift?

Yes, it supports managing destinations for common warehouses like Snowflake, Redshift, and S3. You can configure and update these targets via your agent.

How can I verify if my data format is correct before pushing it to the warehouse?

You can use the validate_import_data capability. It functions exactly like a data push but only tests your credentials and data formatting without actually persisting any records.

Is there a way to check if the Stitch Import API is currently operational?

Yes, use the get_import_status capability. It checks the operational status of the Import API and returns whether it is functioning correctly.

How do I see which types of sources I can connect to my Stitch account?

Run the list_source_types capability. It will provide a comprehensive list of all available source connectors supported by Stitch.

One connection away

Give your agent a direct line to Stitch Data.

Connect Stitch Data once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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