Chat with your SQLServer data

AI to analyze SQLServer data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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SQLServer
Works in Claude, ChatGPT and any MCP client

AI to analyze SQLServer data with Claude and ChatGPT

Ask Claude, ChatGPT or any MCP client about your SQLServer data using natural language chat to uncover sales trends, track inventory KPIs, and compare operational metrics across periods. Instead of writing SQL queries manually, business teams can simply type questions about transaction volumes, customer records, or financial summaries and receive instant analytical answers. The AI reads your replicated SQLServer tables and views to deliver insights on demand, turning complex database structures into conversational intelligence.

Kondado replicates SQLServer data to make it accessible via MCP for analysis in Claude, ChatGPT, and other compatible clients. With 1 pipeline automatically mapping your database tables and views, you can query business metrics through chat while the same data powers ready dashboards in Power BI and Looker Studio.

Finance managers monitor cash flow and revenue recognition directly in chat without requesting IT reports, while operations teams track order fulfillment and stock levels by asking simple questions about their SQLServer records. Marketing analysts compare campaign performance against transactional data stored in the database, and e-commerce managers review customer behavior patterns by querying views that aggregate purchase history. Every department gains self-service access to Microsoft SQLServer insights through conversational AI, eliminating dependency on technical teams for routine data exploration.

The pipelines below expose your SQLServer database structure for AI querying. You can ask about sales performance using the Orders pipeline to calculate monthly revenue and average order values, explore customer segmentation through the Customers pipeline to identify high-value accounts, analyze stock turnover via the Inventory pipeline to prevent shortages, and review profit margins using the Products pipeline to optimize pricing strategies. The Transactions pipeline reveals payment patterns and cash flow timing, while joining the Orders and Customers pipelines enables cohort analysis and lifetime value calculations directly in chat. Combining multiple pipelines allows you to correlate marketing spend with actual sales recorded in SQLServer or match inventory levels against pending orders. With automated updates on a configurable schedule, your AI assistant always references the latest SQLServer records when answering questions about business performance.

How to connect SQLServer to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
AI vocabulary

SQLServer tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

1
Table
Ad-hoc questions
Tabelas e Views
Kondado automatically maps all tables and views available in your database

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect SQLServer at Kondado

Connect your SQLServer database on Kondado at app.kondado.com.br and select a 'Via Kondado destination' so your data lands ready for AI access and for the dashboard templates.

2
Add Kondado MCP in AI settings

In Claude (Web or Desktop) or in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth, using the same simple setup in both clients with no CLI or code needed.

3
Chat about data or open dashboards

Ask in chat using natural language about SQLServer data, and for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

Marketing and Automation

Advertising and Media

E-commerce and Marketplaces

Financial and Payments

Support and Customer Service

Databases

Productivity and Collaboration

Social Media

User Analytics

Storage and Transfer

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What business questions can Claude or ChatGPT answer about my SQLServer data in chat?
Claude and ChatGPT can analyze sales trends, calculate inventory turnover, compare quarterly revenue across regions, and identify top-performing product categories by querying your SQLServer tables. The AI interprets natural language questions about transaction volumes, customer counts, and operational metrics, returning specific numbers and insights without requiring SQL knowledge.
How do I configure Claude or ChatGPT to access my SQLServer data through Kondado?
Open the connection settings in Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server, and complete the OAuth authorization at app.kondado.com.br to grant read access. This GUI-based setup requires no command line tools or JSON configuration, working identically across both AI clients and other MCP clients.
Does the AI write data back to my SQLServer database or execute actions?
No, the MCP connection provides read-only analytical access, allowing Claude and ChatGPT to query and analyze your SQLServer data but never to modify, delete, or insert records. This ensures your database remains unchanged while enabling safe exploration of business metrics through chat.
How does authentication work when connecting SQLServer to AI clients?
You authorize the connection once via OAuth at app.kondado.com.br, granting the MCP server permission to read your replicated SQLServer data. This single sign-on process eliminates the need for API keys or complex credential management within Claude or ChatGPT.
How frequently does the SQLServer data update for AI queries?
Kondado replicates your SQLServer data on a configurable schedule, ensuring Claude and ChatGPT reference near-real-time information when answering questions. You control the sync timing based on your business needs, from hourly updates for operational monitoring to daily snapshots for trend analysis.
What dashboard templates are available for visual monitoring of SQLServer data?
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same SQLServer data available through AI chat, including sales performance, inventory levels, and financial summaries. These dashboards provide recurring visual monitoring while the AI handles ad-hoc analytical questions.
What is the difference between asking the AI about SQLServer data and opening a ready dashboard?
Chat-based analysis with Claude or ChatGPT answers specific, on-demand questions using natural language, such as "What were sales last Tuesday?", while ready dashboards in Power BI or Looker Studio display predefined visual reports for recurring KPI monitoring. The AI excels at exploratory investigation, whereas dashboards maintain consistent visual tracking of standard metrics.

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