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Connect Azure Synapse Analytics 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. Take full control of your enterprise data workflows.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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 · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Azure Synapse Analytics.

  1. 01

    List notebooks

    List all Azure Synapse Spark notebooks

  2. 02

    List spark pools

    List pre-provisioned Apache Spark Analytics pools

  3. 03

    List SQL pools

    List dedicated and serverless SQL Analytics pools in Synapse

  4. 04

    List datasets

    List all Azure Synapse explicit datasets targets

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Azure Synapse Analytics.

  1. 05

    List pipelines

    List all Azure Synapse Analytics data integration pipelines

  2. 06

    Get pipeline

    Get precise definition of a specific Azure Synapse pipeline

  3. 07

    List linked services

    List explicit Azure Synapse Linked Services

Real work

What teams actually run

01

Debugging a Broken ETL Job

You suspect a data pipeline failed. Use the MCP to get the precise definition of the pipeline and check the linked services to find the broken external dependency.

02

Capacity Planning

You need to know if your current compute setup can handle a new workload. List the SQL and Spark pools to check current provisioning limits.

03

Security Audit

You must verify which external systems your data connects to. Use the MCP to list all linked services and see which Key Vaults or Blob Storages are referenced.

04

Code Discovery

A teammate needs to find an older analysis script. List all Spark notebooks to survey the available code assets in the workspace.

Automate a task

Put Azure Synapse Analytics 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

Azure Synapse Analytics 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Azure Synapse Analytics 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

764ms average. Fast in production.

Azure Synapse Analytics is checked daily against the live service.

Daily averagePeak 926ms
Oct 3Today
Fastest day
635ms
Slowest day
926ms
14-day trend
Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 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 Azure Synapse Analytics, so you can see the experience inside your AI.

It does not authenticate your account with Azure Synapse Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

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"
    }
  }
}
  • 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 Azure Synapse Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Azure Synapse Analytics owners hand off.

This MCP is essential for professionals who manage large-scale data infrastructure. It lets you audit complex, interconnected systems without leaving your AI IDE. You get deep visibility into data movement, compute capacity, and external dependencies.

  • 01

    Data Engineers

    Trace failed pipelines and dissect linked service misconfigurations without having to switch back to the Azure portal.

  • 02

    Data Scientists

    Survey available Spark notebooks and quickly retrieve dataset bounds to evaluate variables right inside your AI IDE.

  • 03

    Cloud Operations

    Remotely inspect compute scale thresholds (SQL/Spark pools), answering billing and scaling architecture queries on demand.

FAQ

Questions Azure Synapse Analytics owners ask.

  • 01

    Does this MCP handle my Azure credentials?

    No. You must subscribe to the MCP and provide your Azure Synapse Workspace URL and an active Access Token. The MCP uses these credentials to connect and run the capabilities.

  • 02

    Can I check the status of my Spark compute pools?

    Yes. You can use the list_spark_pools capability to monitor currently provisioned infrastructure, including both Serverless and Dedicated SQL Pools, and active Apache Spark analytic clusters.

  • 03

    Is this only for data pipelines?

    Not at all. Besides pipelines, you can also list all explicit datasets targets, audit linked services, and survey the available Spark notebooks in the workspace.

  • 04

    What if I need to debug a specific pipeline?

    You can use the get_pipeline capability to retrieve the precise definition of a specific Azure Synapse pipeline. This gives you the full logic and steps for debugging.

  • 05

    Does this MCP support all Synapse features?

    It covers the core operational areas: compute pools, data movement workflows, linked service dependencies, and the notebooks stored in the workspace.

  • 06

    Can I audit completely isolated Spark clusters running heavy tasks?

    Yes. Ask the agent to pull your active or paused list_spark_pools. It exposes pre-provisioned engine nodes along with boundaries explicitly defining core-node dimensions for analytic scaling operations.

  • 07

    Can my AI pinpoint the exact failing task inside an ETL pipeline?

    Using the specific get_pipeline action equipped with the exact target name, the agent unfolds the raw underlying JSON orchestration topology. You can trace its target execution mappings, identifying incorrectly bounded inputs right on your prompt window.

  • 08

    Is it possible to diagnose broken connectivity to external Azure services?

    Yes! The agent can invoke the built-in Linked Services inspector. This extracts all distinct dependencies attached to your current scope, such as mapping paths to a lost Key Vault or orphaned CosmosDB. Finding blind spots has never been faster.

Explore

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