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Documentation Index

Fetch the complete documentation index at: https://magica.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Magica overview
The Magica Workflow API lets you programmatically create, manage, and execute AI workflows. Chain AI models, media processing, and custom logic into reusable pipelines — then trigger them via simple REST calls or from any MCP-compatible AI assistant.

What you can do

Workflows

Create, update, list, duplicate, and delete workflow definitions.

Runs

Start workflow executions, monitor progress, cancel in-flight runs.

Webhooks

Real-time HTTP notifications when runs complete, fail, or progress — no polling.

MCP Server

Connect Claude, Cursor, and other MCP clients to manage workflows from chat.

Why Magica

One API, many models

Mix image, video, audio, LLM, and utility nodes in a single pipeline. Swap models without rewriting glue code.

Async by default

Runs execute in the background. Get results via webhook, long-poll, or REST.

Built for agents

First-class MCP support means AI assistants can build and run workflows directly — no human in the loop.

Next steps

Quickstart

Make your first API call in under five minutes.

Concepts

Workflows, runs, nodes, request/response — the vocabulary you’ll see throughout the API.