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Apitype

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Enables AI assistants to generate TypeScript types, Zod schemas, TypeBox, and JSON Schema from any API endpoint or JSON.

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Описание

Enables AI assistants to generate TypeScript types, Zod schemas, TypeBox, and JSON Schema from any API endpoint or JSON.

README

Generate TypeScript types, Zod schemas, TypeBox, and JSON Schema from any API endpoint or JSON — instantly.

apitype demo

Zero config. No OpenAPI spec needed. Works as a CLI, MCP server for AI assistants, Vite plugin, and GitHub Action.

npm version npm downloads CI License: MIT


Why apitype?

Every developer writing API integrations writes the same boilerplate: copy a JSON response, manually type every field, figure out which are nullable, which are optional, what format that date string is.

apitype eliminates all of that. Point it at any URL — it fetches the response, infers every field's type and format, and outputs production-ready code.

Before:  20 minutes of manual typing + guessing nullable fields
After:   npx @jayeshbansal/apitype <url>   →  3 seconds

And in 2026, when your team uses AI coding assistants daily — apitype is the tool those assistants call under the hood.


Features

  • 4 output formats — Zod, TypeBox, TypeScript-only, JSON Schema
  • Smart format detection — 14 patterns: UUID, email, URL, datetime, IP, JWT, CUID, NanoID, base64, semver, hex-color, and more
  • Multi-sample inference — fetch a URL multiple times to detect nullable and optional fields accurately
  • Batch mode — define all your endpoints in a config file, generate everything with one command
  • Watch mode — re-generate automatically when config or files change
  • Typed fetch wrapper — generates a production-ready async function fetchX() alongside the schema
  • MCP server — AI assistants like Claude and Cursor call apitype as a tool directly
  • Vite plugin — types regenerated at dev server start, zero workflow change
  • GitHub Action — keep types in sync in CI, fail if they drift
  • ENV var interpolation — use ${API_KEY} in config headers, never hardcode secrets
  • Programmatic APIimport { fromUrl, fromJson } from '@jayeshbansal/apitype'
  • Zero library deps — Chalk and Ora are CLI-only; the library ships with no runtime dependencies

Install

# One-off use (no install)
npx @jayeshbansal/apitype <url|file>

# Global install
npm install -g @jayeshbansal/apitype

# Dev dependency (for programmatic use or Vite plugin)
npm install -D @jayeshbansal/apitype

CLI

Single endpoint

# From a URL
npx @jayeshbansal/apitype https://api.github.com/users/octocat

# Custom name
npx @jayeshbansal/apitype https://api.github.com/users/octocat --name GithubUser

# TypeBox format
npx @jayeshbansal/apitype https://api.example.com/products/1 --format typebox --name Product

# With auth header + typed fetch wrapper + write to file
npx @jayeshbansal/apitype https://api.example.com/me \
  --header "Authorization: Bearer $TOKEN" \
  --name CurrentUser \
  --fetch \
  --out src/types/me.ts

# Sample 5 times for accurate nullable/optional detection
npx @jayeshbansal/apitype https://api.example.com/posts/random --name Post --samples 5

# From a local JSON file
npx @jayeshbansal/apitype response.json --name ApiResponse --out src/types/api.ts

# From stdin
curl -s https://api.github.com/users/octocat | npx @jayeshbansal/apitype --name GithubUser

Batch mode

Create apitype.config.json:

{
  "endpoints": [
    {
      "url": "https://api.github.com/users/octocat",
      "name": "GithubUser",
      "out": "src/types/github.ts"
    },
    {
      "url": "https://api.stripe.com/v1/customers",
      "name": "StripeCustomer",
      "out": "src/types/stripe.ts",
      "headers": { "Authorization": "Bearer ${STRIPE_SECRET_KEY}" }
    },
    {
      "url": "https://api.example.com/products/1",
      "name": "Product",
      "out": "src/types/product.ts",
      "format": "typebox",
      "fetchWrapper": true,
      "samples": 3
    }
  ],
  "defaults": {
    "format": "zod",
    "fetchWrapper": false
  }
}

Then run:

npx @jayeshbansal/apitype                          # auto-detects apitype.config.json
npx @jayeshbansal/apitype --config my-config.json  # explicit path
npx @jayeshbansal/apitype --config apitype.config.json --watch  # re-run on changes

All flags

Flag Alias Description Default
--name -n Schema name (PascalCase) Schema
--format -f zod | typebox | typescript | jsonschema zod
--out -o Write output to file stdout
--fetch Include typed fetch wrapper
--samples -s Fetch URL N times 1
--header -H Add request header (repeatable)
--timeout Fetch timeout in ms 10000
--config -c Batch config file auto-detect
--watch -w Re-run on config/file changes
--mcp Start MCP server for AI assistants
--version -v Print version
--help -h Show help

MCP Server (for AI assistants)

apitype ships as an MCP (Model Context Protocol) server — the standard protocol used by Claude, Cursor, Windsurf, and other AI coding assistants to call external tools.

Once configured, your AI assistant can generate types without you lifting a finger:

"Generate Zod types for our products endpoint" → Claude calls apitype.generate_from_url → types appear in your file

Setup

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "apitype": {
      "command": "npx",
      "args": ["apitype", "--mcp"]
    }
  }
}

Cursor (.cursor/mcp.json in your project or ~/.cursor/mcp.json globally):

{
  "mcpServers": {
    "apitype": {
      "command": "npx",
      "args": ["apitype@latest", "--mcp"]
    }
  }
}

Windsurf / other MCP clients — same pattern, command: npx, args: ["apitype", "--mcp"].

Available MCP tools

Tool Description
generate_from_url Fetch a URL and generate types
generate_from_json Generate types from a JSON string
generate_from_multiple_samples Merge multiple JSON samples for accurate nullable inference

All tools accept name, format (zod/typebox/typescript/jsonschema), and fetchWrapper options.


Vite Plugin

npm install -D @jayeshbansal/apitype
// vite.config.ts
import { defineConfig } from 'vite'
import { apitype } from '@jayeshbansal/apitype/vite'

export default defineConfig({
  plugins: [
    apitype({
      endpoints: [
        {
          url: 'https://api.example.com/users/1',
          name: 'User',
          out: 'src/types/user.ts',
        },
        {
          url: 'https://api.example.com/products',
          name: 'ProductList',
          out: 'src/types/products.ts',
          format: 'typebox',
          fetchWrapper: true,
        },
      ],
      defaults: { format: 'zod' },
    }),
  ],
})

Types are generated at vite dev startup and vite build — no manual step required.

Options:

  • skipIfExists: true — only generate if the output file doesn't exist yet (fast re-runs)
  • verbose: false — silence the generation log

GitHub Action

Add to .github/workflows/sync-types.yml:

name: Sync API Types

on:
  schedule:
    - cron: '0 6 * * *'   # daily at 6am
  push:
    branches: [main]
  workflow_dispatch:

jobs:
  sync:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Generate types from API endpoints
        uses: jayesh-bansal/apitype@v1
        with:
          config: apitype.config.json
          fail-on-diff: 'true'
        env:
          STRIPE_SECRET_KEY: ${{ secrets.STRIPE_SECRET_KEY }}

Inputs:

Input Description Default
config Path to config file apitype.config.json
version apitype version to use latest
fail-on-diff Fail if generated types differ from committed true
commit-changes Auto-commit updated types false
commit-message Commit message when auto-committing chore: sync api types [skip ci]

Programmatic API

npm install @jayeshbansal/apitype

fromUrl(url, options?)

import { fromUrl } from '@jayeshbansal/apitype'

const result = await fromUrl('https://api.github.com/users/octocat', {
  name: 'GithubUser',
  format: 'zod',         // 'zod' | 'typebox' | 'typescript' | 'jsonschema'
  fetchWrapper: true,    // generate a typed fetch() wrapper
  samples: 3,            // fetch 3× for better nullable/optional detection
  headers: { 'Authorization': 'Bearer token' },
  timeout: 15_000,
})

console.log(result.combined)  // full file content
// result.format → 'zod'

fromJson(data, options?)

import { fromJson } from '@jayeshbansal/apitype'

const result = fromJson(
  { id: '550e8400-...', name: 'Alice', bio: 'Developer' },
  {
    name: 'User',
    format: 'zod',
    // Pass multiple samples for accurate nullable/optional detection
    samples: [
      { id: '...', name: 'Bob' },            // bio missing → optional
      { id: '...', name: 'Carol', bio: null }, // bio null → nullable
    ],
  }
)
// bio: z.string().nullable().optional()

fromString(json, options?)

import { fromString } from '@jayeshbansal/apitype'

const result = fromString('{"hello":"world"}', { name: 'Greeting' })

Batch processing

import { loadConfig, runBatch } from '@jayeshbansal/apitype'

const config = await loadConfig('apitype.config.json')
const results = await runBatch(config, {
  onProgress: (ep, i, total) => console.log(`[${i}/${total}] ${ep.name}`),
  onDone: (r) => console.log(`✓ ${r.outPath}`),
  onError: (ep, err) => console.error(`✗ ${ep.name}: ${err.message}`),
})

defineConfig for type-safe config files

// apitype.config.js
import { defineConfig } from '@jayeshbansal/apitype'

export default defineConfig({
  endpoints: [
    {
      url: 'https://api.github.com/users/octocat',
      name: 'GithubUser',
      out: 'src/types/github.ts',
    },
  ],
  defaults: { format: 'zod' },
})

Detected formats

Input Zod TypeBox JSON Schema
UUID v4 z.string().uuid() Type.String({ format: 'uuid' }) "format": "uuid"
CUID z.string().cuid() Type.String({ pattern: ... }) "type": "string"
Nano ID z.string().nanoid() Type.String({ minLength: 21 }) "type": "string"
Email z.string().email() Type.String({ format: 'email' }) "format": "email"
URL z.string().url() Type.String({ format: 'uri' }) "format": "uri"
ISO datetime z.string().datetime() Type.String({ format: 'date-time' }) "format": "date-time"
ISO date z.string().date() Type.String({ format: 'date' }) "format": "date"
ISO time z.string().time() Type.String({ format: 'time' }) "format": "time"
IPv4 z.string().ip({ version: "v4" }) Type.String({ format: 'ipv4' }) "format": "ipv4"
IPv6 z.string().ip({ version: "v6" }) Type.String({ format: 'ipv6' }) "format": "ipv6"
JWT z.string().jwt() Type.String({ pattern: ... }) "type": "string"
Base64 z.string().base64() Type.String({ contentEncoding: 'base64' }) "type": "string"
Semver z.string().regex(...) Type.String({ pattern: ... }) "type": "string"
Hex color z.string().regex(...) Type.String({ pattern: ... }) "type": "string"

Examples

Stripe API

STRIPE_SECRET_KEY=sk_test_... \
npx @jayeshbansal/apitype https://api.stripe.com/v1/customers/cus_xxx \
  -H "Authorization: Bearer $STRIPE_SECRET_KEY" \
  --name StripeCustomer \
  --out src/types/stripe.ts

Internal API with multiple samples

# Fetch 5 times to correctly detect nullable/optional fields
npx @jayeshbansal/apitype https://your-api.com/api/users/random \
  -H "Authorization: Bearer $API_TOKEN" \
  --name User \
  --samples 5 \
  --out src/types/user.ts

TypeBox for Fastify

npx @jayeshbansal/apitype https://api.example.com/products/1 \
  --format typebox \
  --name Product \
  --fetch \
  --out src/types/product.ts

Output:

import { Type, Static } from '@sinclair/typebox'

export const productSchema = Type.Object({
  id: Type.String({ format: 'uuid' }),
  name: Type.String(),
  price: Type.Number(),
  createdAt: Type.String({ format: 'date-time' }),
})

export type Product = Static<typeof productSchema>

export async function fetchProduct(options?: RequestInit): Promise<Product> {
  const res = await fetch('https://api.example.com/products/1', options)
  if (!res.ok) throw new Error(`HTTP ${res.status}: ${res.statusText}`)
  return (await res.json()) as Product
}

Clipboard (macOS/Linux)

pbpaste | npx @jayeshbansal/apitype --name ApiResponse   # macOS
xclip -o | npx @jayeshbansal/apitype --name ApiResponse  # Linux

Comparison

apitype quicktype openapi-typescript json-to-ts
From live URL ❌ (needs spec)
Zod schemas
TypeBox schemas
JSON Schema output
Multi-sample nullable detection N/A
Typed fetch wrapper
MCP server (AI assistant tool)
Batch config file
Vite plugin
GitHub Action
Watch mode
Library (0 runtime deps)
ENV var interpolation in config

Contributing

Contributions are welcome! Open an issue before large PRs.

git clone https://github.com/jayesh-bansal/apitype
cd apitype
npm install
npm test
npm run dev   # watch mode build

Project structure

src/
├── infer.ts          # JSON → InferredSchema (pattern detection)
├── generate.ts       # InferredSchema → code (dispatches to formats)
├── formats/
│   ├── zod.ts        # Zod schema generator
│   ├── typebox.ts    # TypeBox schema generator
│   ├── typescript.ts # TypeScript-only generator
│   └── jsonschema.ts # JSON Schema generator
├── config.ts         # Config file loading + defineConfig
├── batch.ts          # Batch endpoint processing
├── mcp.ts            # MCP server (stdio JSON-RPC)
├── vite.ts           # Vite plugin
├── index.ts          # Public API
└── cli.ts            # CLI entry

License

MIT © Jayesh Bansal

from github.com/jayesh-bansal/apitype

Установить Apitype в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install apitype

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add apitype -- npx -y @jayeshbansal/apitype

FAQ

Apitype MCP бесплатный?

Да, Apitype MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Apitype?

Нет, Apitype работает без API-ключей и переменных окружения.

Apitype — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Apitype в Claude Desktop, Claude Code или Cursor?

Открой Apitype на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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