Data & Storage · Integration
Baserow
Add Baserow to your product for your customers, and give your AI agents governed access to it.
Baserow is a spreadsheet-shaped database, so the schema is defined by the customer rather than by you, and that is the whole integration problem. Fields are typed and can be reconfigured by anyone with access, which means a column your product depended on can change type between two calls. Reads are best done through a view rather than a raw table, because a view carries the filters and ordering the customer already set up and saves you re-implementing their logic. There is a hosted cloud alongside the open-source build, and per-workspace database tokens make per-tenant connections straightforward. fastn absorbs the schema drift so a renamed field is a mapping change rather than a deploy.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let a customer connect their own Baserow workspace so your product reads and writes the tables they already maintain.
Read through a view so the customer's filters and ordering come along instead of being rebuilt in your code.
Create or update rows from your product, with field mapping handled as configuration.
React when a row changes, rather than polling a table that is mostly static.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reads rows through a view and answers a question without being handed the whole table.
An agent writes a row within governed permissions, with the change audited per tenant.
An agent inspects the field types before a write, so it does not push a string into a number column.
Example prompt
Which rows in this view changed this week, and who updated them?
Set up Baserow in 4 steps
- 01Enable the Baserow connector from your fastn dashboard.
- 02Have each customer authorise their own Baserow account, so calls run under their credentials rather than a shared key.
- 03Decide which records, datasets and fields your product needs, map those fields, then enable the actions and triggers you want.
- 04Call it from your product and expose it to your agents through the same governed connection.
Why teams use the Baserow integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Baserow integration without building it. Your customers connect their own Baserow account inside your product and work their records, datasets and fields there, with no per-customer code on your side.
- Handle the part that actually costs time: schemas differ per customer and change without notice, and volumes can be large. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Baserow update is not your on-call problem.
- One integration serves your product and your agents. The same governed Baserow connection powers in-product features and gives AI agents scoped, audited access, so you read and write your customers' data where it already lives without wiring it twice.
Used by these teams
Compare with
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How do I add a Baserow integration to my product?
Enable the Baserow connector in your fastn dashboard, then let each customer authenticate their own Baserow account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Baserow client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Baserow account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Baserow account and only ever sees their own records, datasets and fields. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Baserow integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads rows through a view and answers a question without being handed the whole table.
Who maintains the Baserow integration?
fastn does. When Baserow changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Does the Baserow integration adapt when a customer's schema changes?
Schema and field mapping is configuration per customer, so a change on their side is a mapping update rather than a code change and a release on yours.
How are large Baserow reads handled?
Pagination and throttling are handled for you, and initial backfills are rate-limited so a large import does not exhaust a customer's API allowance.
What can I build with the Baserow integration?
A common starting point: let a customer connect their own Baserow workspace so your product reads and writes the tables they already maintain. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Baserow integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Baserow does not change your per-connector cost. You can start free with 3 connected accounts.
Add Baserow to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.