Chat with your Azure Table Storage data

AI to analyze Azure Table Storage data with Claude and ChatGPT

Get started for free

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

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

Azure Table Storage
You
How many transaction records do we have in Azure Table Storage this month?
Azure Table Storage
Your Azure Table Storage contains 47,892 transaction records from this month, showing a 12% increase over last month.
Via Kondado MCP
You
What is our current inventory count for top products?
Inventory Data
The top 5 products in your Azure Table Storage show a combined stock of 12,450 units across all warehouses.
Via Kondado MCP
You
Which user segment generated the most sessions yesterday?
User Sessions
Premium tier users generated 8,234 sessions yesterday, representing 45% of total platform activity.
Via Kondado MCP
You
What is the average response time for our API calls today?
API Metrics
Your operational logs in Azure Table Storage show an average API response time of 124ms today, well within SLA limits.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Azure Table Storage Data with Claude and ChatGPT

Chat with Claude, ChatGPT, or any MCP client about your Azure Table Storage data using natural language. Ask about inventory volumes stored in your NoSQL tables, query transaction counts for specific periods, or investigate operational metrics like API response times and error rates without writing a single line of code. The AI reads your replicated data and returns specific numbers, trends, and comparisons instantly through simple conversation, turning complex table storage queries into straightforward business insights.

Kondado replicates Azure Table Storage data and exposes it through an MCP server, enabling Claude, ChatGPT, and other MCP clients to answer analytical questions about your 1 mapped table via natural language chat. The same data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.

Operations managers track stock levels and order statuses by asking direct questions in chat, while e-commerce analysts explore customer activity patterns and purchase histories stored in your Azure tables. Finance teams query revenue totals and cost breakdowns without SQL knowledge, and marketing analysts examine user behavior metrics to identify engagement trends across different time periods. Each department gets instant answers about their Azure Table Storage data without technical bottlenecks, empowering business users to make data-driven decisions independently of development teams.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Azure Table Storage data by Kondado in minutes.

View Azure Table Storage dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Azure Table Storage data in natural language.

View MCP setup →

The pipeline listed below exposes every table and view within your Azure Table Storage account for AI analysis. Query your transaction history entities to track sales velocity over time, investigate inventory partition records to monitor stock levels across warehouses, analyze user session datasets to understand engagement patterns, and examine operational event logs to identify system performance trends. Each of these data endpoints becomes instantly accessible to Claude and ChatGPT through natural language prompts, eliminating the need to write complex queries against your NoSQL storage. While Azure Table Storage organizes information into distinct partitions, you can cross-reference these entities within the same chat session to uncover correlations between storage volume and access patterns, or compare historical trends across multiple data segments for comprehensive business intelligence. Data refreshes on a configurable schedule, ensuring your AI assistant always references current records when answering questions about your Azure Table Storage environment.

How to connect Azure Table Storage 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
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Azure Table Storage 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
Full docs on the wiki → Connect Azure Table Storage now →

How to connect and use AI with your data

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

1
Connect Azure Table Storage and Pick Destination

Connect Azure Table Storage 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 Claude or ChatGPT

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 setup in both clients with no CLI commands or code required.

3
Ask About Data or Open Dashboard Templates

Ask in chat using natural language about Azure Table Storage data; 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

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Hi Platform Hi Platform
Huggy Huggy
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
BigQuery BigQuery
InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

ClickUp ClickUp
Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

Related on Kondado

Frequently asked questions about AI

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

What types of business questions can I ask Claude or ChatGPT about my Azure Table Storage data? ▼
You can ask about inventory counts, transaction volumes, user session trends, and operational metrics stored in your NoSQL tables. Request comparisons between time periods, rankings of top-performing products, or status checks on specific records. The AI returns concrete numbers and insights based on your replicated data.
How do I configure Claude Web or Desktop to access my Azure Table Storage data through Kondado? ▼
In your Claude settings, add the Kondado MCP server URL and authorize the connection via OAuth at app.kondado.com.br. The same process works for both Claude Web and Desktop interfaces, requiring no command line tools or JSON configuration files.
How does authentication work when connecting ChatGPT to Azure Table Storage via Kondado? ▼
You authorize once through OAuth at app.kondado.com.br, granting read-only access to your replicated data. This single authentication step enables both ChatGPT and Claude to query your Azure Table Storage tables without storing your database credentials in the AI clients.
Can the AI execute actions or write data back to my Azure Table Storage tables? ▼
No, the connection provides read-only analytical chat capabilities. Claude and ChatGPT can only query and analyze your existing data, helping you understand trends and metrics. They cannot modify, delete, or insert records into your Azure Table Storage.
How often is my Azure Table Storage data updated for AI queries? ▼
Data replicates on a configurable schedule that you set in Kondado, ensuring your AI assistant works with fresh information. You control the sync frequency based on your business needs, rather than relying on manual updates.
What dashboard templates are available for visual monitoring of Azure Table Storage metrics? ▼
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same data available to the AI. These templates provide recurring visual monitoring through charts and graphs, complementing the conversational analysis available in chat.
What is the difference between asking the AI in chat and opening a ready dashboard? ▼
Chat allows flexible, on-demand questioning about specific metrics or comparisons using natural language, while ready dashboards provide fixed visual layouts for recurring monitoring. Use chat for exploratory analysis and dashboards for standardized reporting views.

Try out all the features for free for 14 days