Connect the AI you already use.

Claude, ChatGPT, and any other MCP client can build tables, permissions, and automations, then read and update your records. The assistant acts as you.

Claude setting up a Jestor deals pipeline through MCP

Features

Low-code

Create and version Python functions. Every version is kept, so you can read the history and change what is active.

Roles and permissions

Create, edit, and delete roles, then audit who can do what across apps and tables.

Users

Add people one by one or up to 50 at once. Change seat, role, and email, or deactivate a user without losing their data.

Tasks

Create, assign, list, and update tasks for yourself or anyone on the account, and link a task to a record.

Automations

Create, edit, enable, and disable no-code automations. One trigger, then actions in order, including on other tables.

Tables and fields

Create tables, add fields in batches, and connect them. A full table can be set up in one step.

Analytics

Ask for counts, sums, averages, and minimum or maximum, grouped by any field. SLA metrics are available on Scale and Expert.

Records

Search, create, update, and archive records in any table you can access. The assistant can page through a whole table.

Advantages

It acts as you

The assistant only sees and changes what your Jestor user is allowed to see and change.

Your login, not a token

Authentication is OAuth. You sign in to Jestor. There is no token to copy or paste.

One place for the work

Tables, automations, roles, and records stay in Jestor. The assistant works on the live system, in plain language.

Deletes you can undo

Records are archived, not erased. Users are deactivated, not deleted. Restore records from the trash in Jestor.

The same plan rules

Seat limits and plan features apply the same way as in Jestor. MCP is on Pro and higher. SLA metrics need Scale or Expert.

A confirmation before changes

Most AI clients ask before they change data. Keep that on, especially for updates and archives in bulk.

Try it now