# AI Manga & Anime Generator - Mangii MCP (`aaai-studio/mangii-manga-generator`) Actor

Create manga and anime art from text. 24 styles, multi-panel stories, BYOK. Thin HTTP client — no GPU, no per-panel Apify billing. Users supply a Mangii API key; generation credits are billed by Mangii.

- **URL**: https://apify.com/aaai-studio/mangii-manga-generator.md
- **Developed by:** [AAAI Studio LLC](https://apify.com/aaai-studio) (community)
- **Categories:** AI, MCP servers, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Manga & Anime Generator - Mangii MCP (Apify Actor)

Create manga and anime art with an AI manga generator. Type what you imagine — Mangii turns text into panels in a chosen style. No drawing skills needed.

Bring-your-own-key (BYOK) Apify Actor that calls the [Mangii Headless API](https://mangii.ai/console/docs) to create a manga story and generate the first panel.

This is **not** an OpenRouter model or a GPU image wrapper. It is a thin HTTP client: you paste your Mangii API key, and Mangii bills your account for generation credits. MCP tools live at `https://mcp.mangii.ai/mcp` (`manga.create_story`, `manga.continue_story`, `manga.list_styles`, …).

### Requirements

- A Mangii API key (`mangii_sk_…`) — mint at [Console → Keys](https://mangii.ai/console/keys)
- API credits — buy at [Console → Billing](https://mangii.ai/console/billing)

### Pricing

- **Apify:** Free (no per-panel charge on Apify)
- **Mangii:** Standard 1 / HD 2 / Ultra 5 API credits per generation (billed by Mangii)

### Input

| Field | Required | Default | Description |
|-------|----------|---------|-------------|
| `mangiiApiToken` | yes | — | Secret Mangii API key |
| `prompt` | yes | — | First-panel scene prompt |
| `styleId` | yes | — | Mangii style identifier |
| `quality` | no | `standard` | `standard`, `hd`, or `ultra` |
| `asyncWait` | no | `true` | Wait for sync 200 result; `false` returns 202 `job_id` |

### API host

Default: `https://api.mangii.ai`

Override with `MANGII_API_BASE` (no trailing slash). Fallback Functions URL: `https://us-central1-mangii-app.cloudfunctions.net/headlessApi`.

### Local development

```bash
cd scripts/apify-mangii-actor
npm install
npm test
```

Dry run with a real key (not for CI):

```bash
MANGII_API_TOKEN=mangii_sk_... node -e "
import { createStory, resolveApiBase } from './src/createStory.js';
const result = await createStory({
  apiBase: resolveApiBase(),
  token: process.env.MANGII_API_TOKEN,
  prompt: 'A hero stands on a rooftop at sunset',
  styleId: 'shonen',
});
console.log(result);
"
```

### Publishing

Do **not** publish this Actor to the Apify Console from CI. Publication is a manual step when ready.

# Actor input Schema

## `mangiiApiToken` (type: `string`):

Your Mangii API key (mangii\_sk\_…). Mint one at https://mangii.ai/console/keys

## `prompt` (type: `string`):

Scene description for the first manga panel

## `styleId` (type: `string`):

Mangii art style identifier (see GET /v1/styles in the API docs)

## `quality` (type: `string`):

Generation quality tier (API credits: standard 1, hd 2, ultra 5)

## `asyncWait` (type: `boolean`):

When true (default), the Actor waits for the completed image (async: false). When false, returns job\_id immediately (202).

## Actor input object example

```json
{
  "quality": "standard",
  "asyncWait": true
}
```

# Actor output Schema

## `results` (type: `string`):

Generated story and panel records in the default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("aaai-studio/mangii-manga-generator").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("aaai-studio/mangii-manga-generator").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call aaai-studio/mangii-manga-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aaai-studio/mangii-manga-generator"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/yeU0e0cOo7sO4uUi1/builds/tnb7bdYsZrCmo5T6a/openapi.json