• LOGIC
  • ACCESS
  • RESOURCES
  • HUMAN

How to debug failing ETL pipelines with your AI

Connect your AI to Azure Synapse Analytics to scan your data movement logic for broken links and configuration errors.

Ask AI about this page

Short answer

How can I use AI to find why my Synapse pipelines are failing?

Your AI pulls your pipeline definitions and linked service configurations to spot mismatched credentials or missing external resources. It identifies exactly which dependency is causing the break so you can fix it without manual hunting. You get a clear map of where the connection failed.

Where every issue lands.

Debugging outcomes

The AI categorizes findings based on what it finds in your Synapse environment.

LOGIC

Pipeline errors

The AI reviews the JSON definitions of your workflows. It finds broken logic or incorrect parameters in your activities.

ACCESS

Broken links

It checks your linked services to see if they point to non-existent storage or databases. You get a list of failed connections.

RESOURCES

Missing dependencies

The AI scans for external data sources that are no longer reachable. It flags these as the root cause of your failures.

HUMAN

Manual fixes

The AI identifies the specific service or parameter that needs your attention. You decide how to update the credentials or paths.

The workflow

What your AI does when a pipeline fails.

The AI moves through your Synapse environment to trace the error back to its source.

  1. Inventory pipelines

    The AI gets a full list of your existing workflows to understand what needs checking.

    list_pipelines

  2. Inspect specific logic

    It pulls the full configuration for a failing pipeline to look for errors in the activity settings.

    get_pipeline

  3. Check connections

    The AI looks at your linked services to see if the connection strings or authentication methods are valid.

    list_linked_services

  4. Identify the break

    It compares the pipeline requirements against the available linked services to find the mismatch.

    list_linked_servicesget_pipeline

Try it

Copy these to start.

Use these prompts to begin your debugging session.

Starting points

Swap out the names of your specific pipelines or services to get targeted answers.

Azure Synapse Analytics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_MqO0WqrVDGRBLkpjn3kMhJJjBY9bjnhtsMU5bx9E/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure Synapse Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-synapse-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_MqO0WqrVDGRBLkpjn3kMhJJjBY9bjnhtsMU5bx9E/mcp"
    }
  }
}
Copy into chat04

  • List all my pipelines and tell me which ones look like they have broken dependencies.

  • Get the definition for the 'Daily_Sales_Load' pipeline and check if its linked services are valid.

  • Look through my linked services and tell me if any of them are missing or misconfigured.

  • I'm seeing a connection error in my ETL process. Can you check the linked services for my Synapse environment?

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Azure Synapse Analytics once, then ask.

Just link your account once. Your credentials stay encrypted and secure, and you can immediately start asking your AI about your data workflows.

Connect Azure Synapse Analytics to your AI

FAQ

Common questions

  • 01

    Can the AI fix my broken pipelines automatically?

    No. The AI identifies the errors and points you to the exact location, but you must manually apply the fixes in Azure.

  • 02

    Does the AI have permission to delete my data or pipelines?

    No. The tools provided only allow the AI to read pipeline definitions and service lists. It cannot delete or modify anything.

  • 03

    Can it check my SQL queries inside the pipeline?

    It can read the pipeline definition to see the query text, but it cannot execute the query against your database.

  • 04

    How does it know which linked service is broken?

    It uses the list of linked services to compare the requirements in your pipeline against the actual available connections.

  • 05

    Will my Synapse credentials be shared with the AI model?

    No. Vinkius manages the connection securely. Your AI client only receives the data it needs to answer your specific questions.

  • More questions about Azure Synapse Analytics? The Connector page answers them. See everything the Azure Synapse Analytics Connector can do

Connect Azure Synapse Analytics to Claude, Cursor, ChatGPT & more