How API generator works, from source to hosted API

APIGenerator starts from what you already have and ends with an API that apps and AI agents call in production. Here is what happens at each step and what you control along the way.

Parsing source01

Inferring resources02

Designing endpoints03

Writing docs04

Building MCP tools05

Step 1. Bring a source you already have

You do not need to write a specification first. APIGenerator accepts the formats teams actually keep around.

A plain English description, for example a booking system with patients, doctors and appointments.
SQL DDL from PostgreSQL, MySQL or SQLite, or a Prisma schema.
A CSV or XLSX sheet, where the header row becomes fields and the first rows set the types.
An OpenAPI 3.x file in JSON or YAML.
A GraphQL SDL.

Each format has its own page with details: api database, excel to api and the OpenAPI generator.

GET/v1/appointments?sort=-starts_at

POST/v1/appointments

GET/v1/appointments/{id}

PATCH/v1/appointments/{id}

POST/v1/appointments/{id}/cancel

Step 2. Review the API design

APIGenerator reads the source and proposes a design you can inspect before anything is deployed.

Resources and fields with types, required flags and validation rules.
Relations such as has many and belongs to, with nested routes where they help.
Custom actions from verbs in your description, such as book, cancel or approve.
Filtering, sorting and pagination on every list endpoint.

You rename, remove or add resources and fields by hand. Manual edits do not use an AI generation.

appointments/Resource

6 fields

FieldTypeRequired

id uuid

patient_id patients

doctor_id doctors

starts_at date-time

status enum

notes text

Relations→ patients→ doctors

Step 3. Deploy to hosting or export the code

Choose where the API runs. You can do both, for example host staging and export production.

Managed hosting with HTTPS, separate dev, staging and production environments, logs and usage analytics. See backend hosting.
Code export in Node.js TypeScript, Python FastAPI or PHP Laravel, with a Dockerfile and a CI test suite.
Versioning, so a breaking change ships as a new version while existing clients keep working.

Environmentsclinic-booking

productionv1499.99%

stagingv15100%

devv15100%

Requests1.2M

p9584 ms

Errors0.02%

Step 4. Connect apps and AI agents

Every API comes with what consumers need on day one.

API keys, JWT or OAuth2 client credentials, with a rate limit per key.
Interactive docs with request examples in curl, JavaScript and Python.
An MCP server whose tools mirror your endpoints, so agents in Claude, ChatGPT or Cursor connect with one URL and a key. Read more about the custom MCP server.
Contract tests and a mock server, so frontend work starts before the backend is final.

MCP server6 tools

list_orderslimit, cursor

get_orderid

create_ordercustomer_id, items

cancel_orderid, reason

refund_orderid, amount

One schema, every output in sync

When you change a field, APIGenerator updates the endpoints, the OpenAPI or GraphQL schema, the docs, the request examples, the tests and the MCP tools together. Docs drift and forgotten agent tools stop being a recurring task.

See it on your own input

The demo on the homepage parses your description or file in your browser and shows the endpoints, a schema excerpt and the MCP tools it would generate. Your files are never uploaded.

Generate API

Ready to generate your API

Create your account and deploy the first API today. Compare plans on the API generator pricing page.