SuperAPI AI Directory

Jet Admin

Jet Admin is a development platform for building business applications on top of existing data sources. Users can connect to 200+ integrations including PostgreSQL, MySQL, MongoDB, Supabase, Firebase, REST API, Google Sheets, Airtable, and more, and build applications, workflows, and AI agents with AI. The platform automatically generates application logic and the data layer, eliminating the need to build a backend yourself, and includes built-in authentication, permission controls, complete audit trails, and enterprise governance capabilities, with support for cloud, self-hosted, or fully local deployment.

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About this tool

Jet Admin is a platform for building secure business applications on top of existing data, positioned as "build the app you would have had to buy." Its core idea is to connect the data sources users are already using and rapidly generate applications, workflows, and AI agents on top of them.

In terms of use, Jet Admin is aimed at teams that need to build internal or external business applications, especially scenarios where they want to quickly deliver production-grade applications based on existing databases and APIs rather than rebuilding the backend. It states that it helps business teams deliver "governed, production-ready" applications, rather than yet another prototype IT cannot sign off on.

Main capabilities include: connecting to 200+ integrations including PostgreSQL, MySQL, MongoDB, Supabase, Firebase, REST API, Google Sheets, Airtable, and more; building applications, agents, and workflows with AI; automatically generating application logic and the data layer so applications work out of the box—data models, business logic, and APIs are built behind the scenes, with no need to assemble a backend; built-in login and authentication, supporting magic link, Google, or single sign-on (SSO), and enabling building internal-only or external-facing applications; enterprise governance built in from day one, allowing precise control over who can see and do what, with proof through complete audit trails, and connecting identity providers in minutes; support for running secure server-side code to handle sensitive operations, access keys, call external APIs, and securely handle business logic; and a CLI optimized for leading AI agents such as Claude Code and Cursor, with instant Skills to reduce rework and accelerate deployment.

In terms of usage, after connecting existing data sources, users can build applications, workflows, and AI agents. Deployment can be cloud, self-hosted, or fully local (on-premise); it states it can even run fully air-gapped, and can be deployed in private, local, or cloud infrastructure such as AWS, Google Cloud, and Azure within 5 minutes. The platform offers a free way to get started (Get started for free). It emphasizes that PostgreSQL is as easy to use as a spreadsheet and can scale to tens of millions of records.

In terms of use cases, it mentions that it is trusted by some of the world's best product teams, is suitable for teams that need to meet complex compliance requirements and have high requirements for security and flexibility, and can be used to build internal-only or external-facing business applications. LimitationsIn terms of limitations, the materials do not provide specific pricing, details of each integration, performance metrics, or additional usage restrictions; not yet available.