Chat with your MongoDB data

AI to analyze MongoDB 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

MongoDB
Works in Claude, ChatGPT and any MCP client

AI to analyze MongoDB data with Claude and ChatGPT

Connect your MongoDB data to Claude, ChatGPT or any MCP client and start analyzing through natural language chat. Ask about document volume trends across your collections, compare performance metrics between different database views, or check the status of specific records without writing a single query. The AI understands your NoSQL schema and returns actionable insights instantly.

Kondado provides a direct integration with MongoDB via the open MCP standard, enabling Claude, ChatGPT and other MCP clients to access 1 pipeline of Collections and Views data. The same replicated data also powers ready reports in Power BI and Looker Studio for complementary visual monitoring.

E-commerce managers using MongoDB Atlas can ask about customer purchase patterns stored in document collections to optimize inventory decisions. Marketing analysts query campaign performance metrics from specific views to measure ROI across channels. Finance teams track billing document statuses and revenue trends by date range, while operations specialists monitor collection growth rates, all through simple chat conversations that transform complex NoSQL structures into immediate business intelligence.

The data structure below shows exactly what becomes available for AI analysis once you establish the connection. Your Collections and Views pipeline contains all document structures from your MongoDB database, unlocking insights about document counts, field distributions, and relationships between stored entities. When you chat with Claude or ChatGPT about this pipeline, you can explore collection metadata to understand data volume trends, analyze view definitions to track calculated metrics, and query specific document attributes to answer operational questions. Since Kondado maps every collection and view automatically, you can combine analysis across different document types to identify patterns in customer behavior, product catalogs, or transaction histories. Updates run on a configurable schedule, ensuring your AI conversations always reference the freshest MongoDB data for accurate decision-making.

How to connect MongoDB 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

MongoDB 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
Collections & Views
Kondado automatically maps all collections and views 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 MongoDB at app.kondado.com.br and select Via Kondado destination

Visit app.kondado.com.br to create your MongoDB data source and choose a Via Kondado destination. Your Collections and Views data lands ready for immediate AI access through MCP and for the Power BI and Looker Studio dashboard templates.

2
Add Kondado MCP server in Claude or ChatGPT settings

Open Claude Web or Desktop, or ChatGPT, navigate to the MCP connection settings and add the Kondado server. Authorize once via OAuth at app.kondado.com.br to enable natural language queries about your MongoDB data, with identical setup across both clients and no code required.

3
Ask about MongoDB data in chat or open dashboard templates

Start asking Claude or ChatGPT questions about your Collections and Views using everyday language. For ongoing visual monitoring of the same MongoDB data, 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 specific business questions can I ask Claude about my MongoDB Collections and Views?
You can inquire about document count trends across collections, compare calculated metrics between different views, identify patterns in specific document fields, and check record statuses by date range or category. The AI understands your NoSQL structure and can calculate aggregates, find anomalies, or summarize content from your pipeline without requiring query syntax knowledge.
How do I configure Claude Web or Desktop to access my MongoDB data through Kondado?
In Claude Web or Desktop, navigate to the connection settings and add the Kondado MCP server. You will be redirected to app.kondado.com.br to authorize access via OAuth once, granting the client read permissions to your MongoDB data. The same GUI-based setup process applies to ChatGPT, with no command line tools or JSON configuration required.
How does the OAuth authentication work when connecting ChatGPT to MongoDB via Kondado?
When you add the Kondado MCP server in ChatGPT, the interface redirects you to app.kondado.com.br where you sign in and approve the connection through OAuth. This one-time authorization creates a token that allows the AI client to query your MongoDB Collections and Views without storing your database credentials directly in the chat interface.
Can the AI write data back to my MongoDB collections or execute administrative actions?
No, the AI interaction is read-only analytical chat. Claude, ChatGPT and other MCP clients can query and analyze your MongoDB data to answer questions, but they cannot insert documents, update records, delete data, or execute administrative commands on your database. This ensures safe exploration of business intelligence without risk to your production environment.
How often does the MongoDB data update for AI queries?
Kondado replicates your MongoDB data on a configurable schedule that you set based on your business needs. This means the AI accesses a fresh copy of your Collections and Views at your chosen interval, ensuring answers reflect recent changes while maintaining optimal query performance in chat.
What dashboard templates are available for MongoDB data besides the AI chat?
Kondado offers ready report templates in Power BI and Looker Studio that visualize your MongoDB Collections and Views data. These templates provide recurring visual monitoring through charts and graphs, complementing the conversational analysis you get when chatting with Claude or ChatGPT about the same underlying data.
What is the difference between asking the AI about MongoDB data and opening a ready dashboard?
Asking the AI in chat provides interactive, on-demand analysis where you explore specific questions about your MongoDB Collections and Views using natural language. Opening a ready dashboard offers static visual monitoring with pre-built charts that update automatically, ideal for recurring KPI tracking without typing queries each time.

Try out all the features for free for 14 days