Azure Synapse Analytics MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Azure Synapse Analytics as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Azure Synapse Analytics. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Azure Synapse Analytics?"
)
print(response)
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.
LlamaIndex agents combine Azure Synapse Analytics tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Azure Synapse Analytics MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 7 tools from Azure Synapse Analytics
Why Use LlamaIndex with the Azure Synapse Analytics MCP Server
LlamaIndex provides unique advantages when paired with Azure Synapse Analytics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Azure Synapse Analytics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Azure Synapse Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Azure Synapse Analytics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Azure Synapse Analytics tools were called, what data was returned, and how it influenced the final answer
Azure Synapse Analytics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Azure Synapse Analytics MCP Server delivers measurable value.
Hybrid search: combine Azure Synapse Analytics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Azure Synapse Analytics to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Azure Synapse Analytics for fresh data
Analytical workflows: chain Azure Synapse Analytics queries with LlamaIndex's data connectors to build multi-source analytical reports
Azure Synapse Analytics MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Azure Synapse Analytics to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Azure Synapse Analytics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAzure Synapse Analytics + LlamaIndex FAQ
Common questions about integrating Azure Synapse Analytics MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.