Azure SQL MCP — Your Database, Plain English
Improvado's MCP server connects Azure SQL databases to Claude, Cursor, and any AI agent. Query tables, analyze schemas, join datasets, and explore your data in natural language — without writing a line of SQL.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Read: Query Any Azure SQL Table or Schema Instantly
Ask your AI agent to pull data from Azure SQL in plain English. No query builder, no SQL expertise required. The MCP server translates questions into optimized SQL and returns structured results directly in the conversation.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Show me total revenue by region for the last 90 days. Include month-over-month growth rate.
20 min → 30 sec
Which customers haven't placed an order in more than 60 days? Show their last order value.
15 min → 20 sec
Describe the schema for the orders and inventory tables. What foreign keys connect them?
30 min → 1 min
Example prompts
"Show anomalies across all accounts"
2h → 40s
"CPL in New York vs. California?"
1h → 30s
"ROAS by campaign type, last 30 days"
45m → 15s
Works with
Claude
ChatGPT
Cursor
+5
Insert a new product record: SKU 'PRD-8821', category 'accessories', base price $49.99.
5 min → 15 sec
Update the status to 'fulfilled' for all orders where shipping_confirmed = true and status = 'processing'.
20 min → 30 sec
Archive all customer records inactive for more than 2 years to the archive_customers table.
1 hr → 2 min
Write actions
"Launch A/B test, $5K budget"
5 days → 20m
"Shift 20% of Display to PMax"
2h → 1m
"Pause all ad groups with CPA > $50"
30m → 10s
🛡
Every action logged · Fully reversible · SOC 2 certified
Write: Update Records and Run Operations Without Writing SQL
Your AI agent can insert records, run update operations, and manage data through the Azure SQL MCP connection. Useful for operational workflows, data corrections, and automated data entry.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Monitor: Watch Data Quality and Volume Continuously
Set up data quality watches on critical Azure SQL tables. Your AI agent flags row count anomalies, null value spikes, and schema drift before they cause downstream issues.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Alert me if the orders table row count drops more than 10% vs. the prior day.
Manual → auto
Daily: check for null values in required fields across the customers and products tables.
1 hr → auto
Flag any table where the latest record timestamp is older than 24 hours.
Manual → auto
Monitor prompts
"Flag ad groups over 120% budget"
3h → 1m
"Weekly report: spend, CPA, anomalies"
3h → auto
"Which creatives are fatiguing?"
2h → 30s
Alerts sent to Slack, email, or your AI agent
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
Your AI agent can insert records, run update operations, and manage data through the Azure SQL MCP connection. Useful for operational workflows, data corrections, and automated data entry.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Business Teams Can't Access Data Without SQL Help
THE PROBLEM
Data in Azure SQL is locked behind SQL expertise. Business teams with legitimate questions — revenue by segment, customer churn signals, inventory shortfalls — queue up requests to data engineers and wait days for answers.
HOW MCP SOLVES IT
Improvado's MCP server exposes Azure SQL to natural language queries through Claude and other AI agents. Non-technical teams ask questions directly; the AI generates and executes the SQL. No queue, no wait.
What's the average order value by customer segment this quarter vs. the same period last year?
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
Which product categories have the highest return rate, and what's the avg days to return?
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Cross-Table Analysis Requires Custom Queries Every Time
THE PROBLEM
Questions that span multiple tables — customer behavior plus order history plus inventory — require writing multi-join SQL queries from scratch each time. Most analysts rewrite the same logic in slightly different forms repeatedly.
HOW MCP SOLVES IT
Improvado's AI agent understands Azure SQL schemas and writes multi-join queries automatically. Ask a business question; the MCP server figures out the joins, applies the right filters, and returns the answer.
Schema Changes Break Downstream Reports
THE PROBLEM
When Azure SQL schemas change — renamed columns, new tables, modified data types — downstream reports and dashboards break silently. The breakage is discovered after the data has already been wrong for days.
HOW MCP SOLVES IT
Improvado tracks Azure SQL schema changes over time and surfaces them through the AI agent. Teams can query schema history, detect changes, and identify affected downstream dependencies before reports fail.
Have any column names or data types changed in the orders or customers tables in the last 30 days?
Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams
One Framework. Five Roles. Zero Setup.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Frequently Asked Questions
Does Azure SQL have an MCP server?
+
Microsoft does not publish an official Azure SQL MCP server. Improvado provides a hosted MCP integration that connects Azure SQL databases to Claude, Cursor, and other AI tools — supporting both read queries and write operations through a secure proxy.
What Azure SQL features are supported through the MCP server?
+
Table queries, schema inspection, multi-join operations, stored procedure execution, and write operations (INSERT, UPDATE, DELETE). All accessible in natural language without writing SQL directly.
Is direct database write access safe through an AI agent?
+
Improvado applies role-based access controls to all MCP connections. Write permissions can be scoped to specific tables or schemas. All operations are logged and auditable — so teams can enable AI write access safely.
How does Improvado connect to Azure SQL securely?
+
Improvado connects via encrypted Azure SQL connection strings stored in a SOC 2 Type II certified vault. Connections use TLS in transit. Credentials are never passed through the AI conversation.
Can I combine Azure SQL data with other sources in the same query?
+
Yes. Improvado's MCP server connects 500+ platforms. Teams can join Azure SQL data with Salesforce CRM records, marketing ad data, or other databases in a single AI conversation — no ETL required.
Does Improvado support multiple Azure SQL databases?
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Yes. Multiple Azure SQL databases across subscriptions or environments can be connected to Improvado. AI agents can query across all of them in a single session.
Does Azure SQL have an MCP server?
Microsoft does not publish an official Azure SQL MCP server. Improvado provides a hosted MCP integration that connects Azure SQL databases to Claude, Cursor, and other AI tools — supporting both read queries and write operations through a secure proxy.
What Azure SQL features are supported through the MCP server?
Table queries, schema inspection, multi-join operations, stored procedure execution, and write operations (INSERT, UPDATE, DELETE). All accessible in natural language without writing SQL directly.
Is direct database write access safe through an AI agent?
Improvado applies role-based access controls to all MCP connections. Write permissions can be scoped to specific tables or schemas. All operations are logged and auditable — so teams can enable AI write access safely.
How does Improvado connect to Azure SQL securely?
Improvado connects via encrypted Azure SQL connection strings stored in a SOC 2 Type II certified vault. Connections use TLS in transit. Credentials are never passed through the AI conversation.
Can I combine Azure SQL data with other sources in the same query?
Yes. Improvado's MCP server connects 500+ platforms. Teams can join Azure SQL data with Salesforce CRM records, marketing ad data, or other databases in a single AI conversation — no ETL required.
Does Improvado support multiple Azure SQL databases?
Yes. Multiple Azure SQL databases across subscriptions or environments can be connected to Improvado. AI agents can query across all of them in a single session.
Stop Reporting. Start Executing.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics
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