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Azure Synapse Analytics MCP Server for Mastra AI 7 tools — connect in under 2 minutes

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Azure Synapse Analytics through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "azure-synapse-analytics": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Azure Synapse Analytics Agent",
    instructions:
      "You help users interact with Azure Synapse Analytics " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Azure Synapse Analytics?"
  );
  console.log(result.text);
}

main();
Azure Synapse Analytics
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Azure Synapse Analytics MCP Server

Connect your Azure Synapse workspace to any AI agent and take full control of your enterprise analytics workflows and data integration limits through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Azure Synapse Analytics tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Compute Pools — Monitor currently provisioned infrastructure, ranging from Serverless/Dedicated SQL Pools to your active Apache Spark analytic clusters
  • Integration Pipelines — Dissect data movement workflows (ETL/ELT), viewing precise activity target parameters and logical steps for a single tracked job
  • Notebooks — Explore global Apache Spark analytics notebooks stored in the workspace mapped limits
  • Datasets & Schemas — Audit specifically defined storage mappings shaping static or dynamic structures natively inside the limits
  • Linked Services — Safely extract dependencies indicating external mappings referencing Key Vaults, Blob Storages, or other crucial endpoints

The Azure Synapse Analytics MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Azure Synapse Analytics to Mastra AI via MCP

Follow these steps to integrate the Azure Synapse Analytics MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from Azure Synapse Analytics via MCP

Why Use Mastra AI with the Azure Synapse Analytics MCP Server

Mastra AI provides unique advantages when paired with Azure Synapse Analytics through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Azure Synapse Analytics without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Azure Synapse Analytics tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Azure Synapse Analytics + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Azure Synapse Analytics MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Azure Synapse Analytics, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Azure Synapse Analytics as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Azure Synapse Analytics on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Azure Synapse Analytics tools alongside other MCP servers

Azure Synapse Analytics MCP Tools for Mastra AI (7)

These 7 tools become available when you connect Azure Synapse Analytics to Mastra AI via MCP:

01

get_pipeline

Get precise definition of a specific Azure Synapse pipeline

02

list_datasets

List all Azure Synapse explicit datasets targets

03

list_linked_services

List explicit Azure Synapse Linked Services

04

list_notebooks

List all Azure Synapse Spark notebooks

05

list_pipelines

List all Azure Synapse Analytics data integration pipelines

06

list_spark_pools

List pre-provisioned Apache Spark Analytics pools

07

list_sql_pools

List dedicated and serverless SQL Analytics pools in Synapse

Example Prompts for Azure Synapse Analytics in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Azure Synapse Analytics immediately.

01

"Retrieve the full integration topology for 'NightlyCustomerSync'."

02

"List all Spark Notebooks currently stored in this analytic root."

03

"Check and audit our externally mapping Linked Services health statuses."

Troubleshooting Azure Synapse Analytics MCP Server with Mastra AI

Common issues when connecting Azure Synapse Analytics to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Azure Synapse Analytics + Mastra AI FAQ

Common questions about integrating Azure Synapse Analytics MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Azure Synapse Analytics to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.