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Improvado's MCP server connects Microsoft SQL Server to Claude, Cursor, and other AI agents. Ask questions about your data in natural language, trigger updates, and monitor table health — without writing a single query.
Stop writing ad-hoc queries. Ask your AI agent for row counts, aggregations, joins, or trend analysis across any table or view. The MCP server handles the SQL Server connection and query execution.
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 do more than read — it can insert rows, update fields, and trigger stored procedures. Define scope once, then let the agent handle the operations.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up ongoing checks on row counts, data freshness, and value thresholds. Your AI agent monitors SQL Server continuously and alerts before problems escalate.
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 do more than read — it can insert rows, update fields, and trigger stored procedures. Define scope once, then let the agent handle the operations.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
SQL Server databases often span hundreds of tables with nested foreign key relationships. Building a correct multi-table join for a business question takes significant time and expertise — and small errors return wrong results silently.
Improvado maps SQL Server schema metadata to the MCP server. The AI agent understands table relationships and constructs accurate joins automatically, returning correct results from natural language questions.
Teams accumulate hundreds of stored procedures over years. Knowing which one to call, what parameters it takes, and when it was last updated is a constant productivity drain — especially for new team members.
The MCP server exposes stored procedure metadata to the AI agent. Teams can ask which procedures exist, what they do, and trigger them by describing the outcome they want — no memorization required.
Reporting pipelines fail silently. Teams discover stale data in dashboards hours after the fact, often after decisions have already been made based on outdated numbers.
Improvado monitors SQL Server table update timestamps continuously. The MCP server surfaces freshness status on demand and triggers alerts when tables fall behind their expected refresh schedule.
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.
Not natively — Claude and ChatGPT don't have built-in SQL Server connectors. Improvado's MCP server acts as the bridge: it connects to your SQL Server instance, handles authentication and query execution, and exposes the data to any MCP-compatible AI tool including Claude, Cursor, and Gemini.
Improvado supports SQL Server 2012 and later, including SQL Server 2019, 2022, and Azure SQL Database. Both on-premises and cloud-hosted instances are supported. The connection is handled server-side — no local agent installation required.
Improvado supports both read-only and read-write configurations. Most teams start with read-only access for querying and reporting, then expand to write operations as needed. Permissions are scoped at the connection level — the AI agent only operates within what's been granted.
When you connect SQL Server to Improvado, the MCP server indexes your schema — table names, column types, relationships, and stored procedure signatures. This metadata is passed to the AI agent as context, enabling it to construct accurate queries without requiring you to specify table names manually.
Yes. Improvado handles schema indexing and query execution server-side. The AI agent doesn't need to load the entire database into context — it retrieves relevant schema metadata on demand. Databases with hundreds of tables and millions of rows work without performance degradation.
Improvado is SOC 2 Type II certified. SQL Server credentials are stored in an encrypted vault and never exposed to the AI agent. All queries run through Improvado's secure proxy. Read/write permissions are enforced at the connection level, and all query activity is logged for audit purposes.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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