Azure Synapse Analytics MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Azure Synapse Analytics through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Azure Synapse Analytics Assistant",
instructions=(
"You help users interact with Azure Synapse Analytics. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Azure Synapse Analytics"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 7 tools from Azure Synapse Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Azure Synapse Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Azure Synapse Analytics MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from Azure Synapse Analytics
Why Use OpenAI Agents SDK with the Azure Synapse Analytics MCP Server
OpenAI Agents SDK provides unique advantages when paired with Azure Synapse Analytics through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Azure Synapse Analytics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Azure Synapse Analytics MCP Server delivers measurable value.
Automated workflows: build agents that query Azure Synapse Analytics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Azure Synapse Analytics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Azure Synapse Analytics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Azure Synapse Analytics to resolve tickets, look up records, and update statuses without human intervention
Azure Synapse Analytics MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Azure Synapse Analytics to OpenAI Agents SDK via MCP:
get_pipeline
Get precise definition of a specific Azure Synapse pipeline
list_datasets
List all Azure Synapse explicit datasets targets
list_linked_services
List explicit Azure Synapse Linked Services
list_notebooks
List all Azure Synapse Spark notebooks
list_pipelines
List all Azure Synapse Analytics data integration pipelines
list_spark_pools
List pre-provisioned Apache Spark Analytics pools
list_sql_pools
List dedicated and serverless SQL Analytics pools in Synapse
Example Prompts for Azure Synapse Analytics in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Azure Synapse Analytics immediately.
"Retrieve the full integration topology for 'NightlyCustomerSync'."
"List all Spark Notebooks currently stored in this analytic root."
"Check and audit our externally mapping Linked Services health statuses."
Troubleshooting Azure Synapse Analytics MCP Server with OpenAI Agents SDK
Common issues when connecting Azure Synapse Analytics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Azure Synapse Analytics + OpenAI Agents SDK FAQ
Common questions about integrating Azure Synapse Analytics MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Azure Synapse Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Azure Synapse Analytics to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.