✦ One link. Every LLM.

Ask your database anything. In plain English, no SQL.

Let anyone on your team answer their own data questions without writing SQL. Connect your data once and get one secure MCP link that works in Claude, ChatGPT, or any MCP assistant.

A team smiling and pointing at growth metrics on a dashboard together

Connected sources

Ask anything

“What was our Q3 revenue?”

482,000

↑ 12% from Q2

Connect what you already use — query it from the assistant you already use

Postgres
MySQL
MongoDB
MSSQL
SQLite
Excel
CSV
JSON
Claude
ChatGPT
Cursor
Any MCP client
Features

Everything your team needs to work with data

Who were our top 5 customers by revenue last quarter?

Queried prod-postgres · 240ms
Acme Corp82,400
Globex61,200
Initech54,900
Ask

Plain-English querying

Ask about revenue, churn, or top customers the way you would ask a colleague. Datafliq translates the question, runs it against the right source, and hands back the answer — no SQL required.

Your MCP server

https://yourlink.example.com/s/9f4c2a7e31b8Copy

Connected apps

ClaudeConnected
ChatGPTConnected
CursorConnected
Connect

One link, every LLM

Connect a source once and Datafliq issues a single secure MCP link for your organization. Drop that same link into Claude, ChatGPT, Cursor, or anything else that speaks MCP.

AO

Ada Okafor

Admin

All sources
BA

Bola Adeyemi

Member

2 of 5 sources
CU

Chidi Uche

Member

1 of 5 sources

Revoked Chidi’s access to prod-postgres2 minutes ago

Control

Access you grant, and can take back

Every connection is encrypted in transit, and each teammate only sees the sources you assign them. No connection outlives its welcome — you decide what is shared, for how long, and when it ends.

MCP Connector

One connection, use it anywhere

1

Connect your data

Link a database, warehouse, or file source in a couple of clicks.

2

Get your MCP link

Datafliq generates a dedicated, secure link for your organization.

3

Paste into any LLM

Drop the link into Claude or any MCP-compatible tool and start querying.

An analyst focused on charts and data in a spreadsheet on their laptop
For teams

One workspace, shared access control

Invite your team into an organization, assign roles, and control exactly which data connections each person can query.

Pricing

Simple pricing that scales with your team

A tool is one thing an assistant can do with your data — run a query, summarise a table, compare two sources, check for duplicates. Higher plans unlock more of them.

Free

Free

  • Just you
  • 3 connected data sources
  • 4 tools included
  • + 3 more tools for your first 30 days
  • Free forever — no card required
Get started
Most popular

Connect

₦25,000/month

  • You + 5 others
  • 10 connected data sources
  • All tools, plus custom tools
Get started

Business

₦100,000/month

  • You + 15 others
  • Unlimited connected sources
  • All tools, plus custom tools
Get started
FAQ

The questions you should be asking

Connecting a production database to an AI assistant deserves specifics. For the full detail, see the security page.

Can Datafliq write to my database?

No. Every connection Datafliq opens is read-only: your data can be read, never changed or deleted. On Postgres, MySQL and SQLite the database itself rejects any INSERT, UPDATE, DELETE or DROP. Every source also passes a second check that allows only a single, straightforward read statement through, so reads reach your data and nothing else does. MongoDB connections only ever issue a find().

Does it run on my infrastructure?

No, and nothing gets installed in your environment. Datafliq is hosted: your database stays where it is, and our server connects out to it using the credentials you provide, runs the query, and passes the rows back to your assistant. You will need to allow network access from our servers to your database.

Does the model see my raw data?

It sees the rows your query returns, which is how it answers the question. It does not see tables it did not query, sources you have not connected, or anything a teammate has access to but you do not. Your database credentials are never exposed to the model.

Are my query results stored?

No. Results pass straight through to your assistant and are not written to disk or retained.

What happens with a large schema, say 400 tables?

An assistant does not need to load your whole schema to answer a question. It can search your schema by keyword to find the handful of relevant tables, then summarise just those. Asking it to summarise an entire 400-table source will describe every table one by one and is slow, so narrow it with a search first.

Who on my team can query which sources?

You decide per source. Members can only query the sources you explicitly assign to them, and that scoping is applied when their assistant connects, not in the interface. Admins can query every source in the organisation. Revoking access takes effect on the next query.

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