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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Yes. Improvado's MCP server connects 1,000+ 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.
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.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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