Can I query MongoDB in plain English?

Yes, through a copy. Dataki has no MongoDB connector, so export a collection to CSV and upload it, or copy it into BigQuery with Google's Dataflow template. Dataki then turns a plain-English question into SQL against that copy and returns a chart, with the query shown.

How fresh is MongoDB data in Dataki?

As fresh as the last export or copy. An uploaded CSV is a snapshot, and a BigQuery copy refreshes each time the Dataflow job runs. For a continuous copy, Google's Datastream replicates MongoDB into BigQuery too.

Can Claude, ChatGPT or Cursor query my MongoDB data?

Yes, through Dataki's hosted MCP server at https://dataki.ai/api/mcp. Connect MongoDB to Dataki, add that URL as a connector in Claude or ChatGPT (or in Cursor, VS Code or Claude Code with a Dataki key), and the assistant can read the schema and run read-only queries. It gets the rows back; the credentials stay encrypted in Dataki and are never handed to the model.

Dataki for MongoDB

Ask MongoDB in plain English

Dataki has no MongoDB connector yet. Export a collection to CSV and upload it, or copy it into BigQuery with Google's Dataflow template, and ask about it in plain English.

Through a file or BigQuery A CSV export, or a copy in BigQuery. The guide takes about 5 minutes.

Follow the setup guide Open Dataki

app.dataki.ai / chat orders.csv

How many orders did each country place last month?

Reading the schema, writing the query…

SELECT country, COUNT(*) AS orders
FROM   orders.data
WHERE  created_at >= DATE '2026-08-01' AND created_at < DATE '2026-09-01'
GROUP BY country ORDER BY orders DESC LIMIT 5

The United States placed 4,218 orders in August, more than Germany and the UK together.

01Questions

What people ask MongoDB

Each one becomes a query against the MongoDB data, run read-only, with the SQL shown beside the chart so anyone who reads SQL can check it. Anything worth keeping goes on a dashboard that refreshes on its own.

How many orders did each country place last month?
Which users have the most documents in the events collection?
What is the average basket size by month?
Which records are missing an email address?

02From your assistant

Ask MongoDB from Claude, ChatGPT or Cursor

Dataki runs a hosted MCP server. Add it to your assistant once and it can read the MongoDB data in BigQuery and run read-only queries through Dataki. The assistant gets the rows back; the credentials stay encrypted in Dataki and never reach the model.

Setup for your assistant:

Claude · dataki (MCP) orders.csv

Using the orders export I uploaded to Dataki, chart orders by country for last month.

list_sources · finds orders.csv
get_data_context · reads the tables and what the columns mean
query · runs the SQL read-only, returns the rows
render_ui · draws the chart from those rows, in the chat

server URL streamable http

https://dataki.ai/api/mcp

03Setting it up

Getting MongoDB data to Dataki

A CSV export, or a copy in BigQuery. The setup guide covers it step by step.

Setup: Five minutes for a CSV export. About 20 for a BigQuery copy.
Cost: An upload is free. A Dataflow job is billed by Google for the time it runs.
Freshness: As fresh as your last export or job run.
Best for: A CSV for one question now. BigQuery for dashboards that should keep working.

Read the MongoDB guide Open Dataki

The answer is still there tomorrow.

Ask in plain language. Dataki writes the SQL, runs it against your warehouse and draws the chart. Anything worth keeping becomes a dashboard with a link — not a message that scrolls away.

app.dataki.ai / chat

Which channels actually brought in revenue last quarter?

Queried bigquery · payments · 1.2 GB scanned

SELECT channel,
       SUM(amount) AS revenue
FROM   payments
WHERE  created_at >= DATE_TRUNC(CURRENT_DATE(), QUARTER)
GROUP BY channel
ORDER BY revenue DESC

Revenue by channel

Q3 · 5 rows

Organic search: $412,900
Partner referral: $268,400
Email: $151,200
Paid social: $96,700
Direct: $61,300

One click later, that chart is a dashboard of its own:

app.dataki.ai/d/revenue-by-channel

Live, not a screenshot. It re-runs the query on a schedule, so the number your team reads on Friday is Friday's number.

Share the link with anyone. Viewers are free on every plan.
Edit the SQL by hand whenever the model gets the logic almost right.
Drop the same dashboard into your own product with one line of HTML.

Start free See how it works

Using Dataki with MongoDB

Can I query MongoDB in plain English?: Yes, through a copy. Dataki has no MongoDB connector, so export a collection to CSV and upload it, or copy it into BigQuery with Google's Dataflow template. Dataki then turns a plain-English question into SQL against that copy and returns a chart, with the query shown.
How fresh is MongoDB data in Dataki?: As fresh as the last export or copy. An uploaded CSV is a snapshot, and a BigQuery copy refreshes each time the Dataflow job runs. For a continuous copy, Google's Datastream replicates MongoDB into BigQuery too.
Can Claude, ChatGPT or Cursor query my MongoDB data?: Yes, through Dataki's hosted MCP server at https://dataki.ai/api/mcp. Connect MongoDB to Dataki, add that URL as a connector in Claude or ChatGPT (or in Cursor, VS Code or Claude Code with a Dataki key), and the assistant can read the schema and run read-only queries. It gets the rows back; the credentials stay encrypted in Dataki and are never handed to the model.

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