
Connect Hevo Data Etl Data Pipeline to ChatGPT and Claude
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and monitor your data pipelines through natural conversation.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 6 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 6 available through Hevo Data.
- 01
Get pipeline
This capability retrieves specific details for a single Hevo pipeline.
- 02
Get usage
Use this to pull real-time account usage and row replication metrics.
- 03
List workflows
Use this to see all configured DAG workflows and orchestration steps.
04-06
3 capabilities in this set.
Part of 6 available through Hevo Data.
- 04
List destinations
This capability returns a list of all configured data warehouse destinations.
- 05
List models
Get a list of all transformation models currently active in your account.
- 06
List pipelines
This capability provides a full list of all your existing ETL pipelines.
Real work
What teams actually run
Health Checks
Ask your agent if a specific pipeline is running or if a destination is healthy.
Budget Management
Check your current row count against your monthly quota to avoid unexpected costs.
Data Lineage Verification
Confirm which transformation models are applied to specific data streams.
Workflow Auditing
Identify the DAG workflows connecting your different data transformations.
Automate a task
Put Hevo Data to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Hevo Data works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Hevo Data to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
820ms average. Fast in production.
Hevo Data is checked daily against the live service.
- Fastest day
- 689ms
- Slowest day
- 1000ms
- 14-day trend
- Slowing+9%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Hevo Data, so you can see the experience inside your AI.
It does not authenticate your account with Hevo Data. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Hevo Data Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_g8OahZ0tlknHo4zGlDARjBa11ENx2y9HNf6P2vgT/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Hevo Data capabilities are ready to use.
{
"mcpServers": {
"hevo-data-etl-data-pipeline-mcp": {
"url": "https://edge.vinkius.com/vk_preview_g8OahZ0tlknHo4zGlDARjBa11ENx2y9HNf6P2vgT/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Hevo Data in Claude and other AIs
Who it's for
Built for the work Hevo Data owners hand off.
This MCP is built for technical teams who need to monitor data movement without constant dashboard hopping.
- 01
Data Engineers
They use the agent to check ETL health and destination replication status.
- 02
Analytics Leads
They verify transformation models to ensure data is ready for reporting.
- 03
Operations Teams
They track row usage and billing ceilings to stay within budget.
FAQ
Questions Hevo Data owners ask.
- 01
How do I connect this MCP to my data?
You need your Hevo Data API Key and your account region, such as US, EU, AU, or IN, to get started.
- 02
Which AI clients can I use with this?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 03
Can I monitor my Snowflake or BigQuery destinations?
Yes, the MCP allows you to monitor the status of your warehouse targets to ensure data delivery.
- 04
Will this help me stay within my Hevo budget?
Yes, you can use the agent to check account usage metrics and row replication counts in real time.
- 05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
- 06
Can I check the status of my data destinations through my agent?
Yes. Use the list_destinations capability to see all your warehouse targets. Your agent will provide the status and details of where your data is being replicated, ensuring delivery to platforms like BigQuery or Snowflake.
- 07
How do I find a specific pipeline's configuration?
Use the get_pipeline capability with a unique Pipeline ID to extract explicit routing mappings and ingestion frequencies. This is perfect for auditing specific ETL flows without manual searching.
- 08
Can I monitor my account's row usage through a conversation?
Absolutely. The get_usage capability retrieves real-time account usage metrics and billing ceilings, helping you track how many rows have been replicated and ensure you stay within your plan's limits.
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Connect Hevo Data to Claude, Cursor, ChatGPT & more
