# Submagic API — model skill for captions & subtitles

> **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page.

Caption-styled shorts API with an MCP server: AI captions, Magic Clips from long videos, B-roll, publishing.

- **Type:** [Model](https://varg.ai/how-to/models.md) · [Captions & subtitles](https://varg.ai/how-to/browse/skills/captions.md)
- **Slug:** `submagic`
- **Status:** live
- **Publisher:** Submagic (community)
- **License:** unknown
- **Source:** https://docs.submagic.co/mcp-server
- **Works in:** Claude Code, Claude.ai, Cursor, Any MCP client
- **Requires:** Submagic API key
- **Cost:** Subscription

## What it does

Submagic's API creates projects from a video URL or upload with AI captions in its templates, generates Magic Clips from YouTube or uploaded long videos, adds user B-roll and music, exports, and publishes or schedules to social platforms. A hosted MCP endpoint exposes the same actions to Claude, Cursor and other clients; transcripts can be edited before rendering.

## Use when

- add viral-style captions to a talking-head clip
- clip a long YouTube video into shorts
- publish captioned clips to TikTok and Reels

## Install

- Claude Code: `claude mcp add --transport http submagic https://api.submagic.co/mcp --header "Authorization: Bearer $SUBMAGIC_API_KEY"`

## More captions & subtitles skills

- [3D Camera Captions](https://varg.ai/how-to/skills/hyperframes-camera-3d-captions.md): Captions that live in 3D around a talking head: the camera flies through the words, heroes pass behind the speaker.
- [Remotion Captions](https://varg.ai/how-to/skills/remotion-captions.md): Transcribe speech and burn in animated captions with Remotion, or import an existing SRT file.
- [ElevenLabs Speech to Text](https://varg.ai/how-to/skills/elevenlabs-speech-to-text.md): Transcribe audio and video with word timestamps, speaker labels and keyterms, ready for subtitles.
- [ElevenLabs Speech to Text (inference.sh)](https://varg.ai/how-to/skills/inference-sh-elevenlabs-stt.md): Transcribe audio with ElevenLabs Scribe, speaker diarization and forced alignment, via inference.sh.
- [Speech to Text](https://varg.ai/how-to/skills/inference-sh-speech-to-text.md): Transcribe audio with ElevenLabs Scribe v2 or Whisper V3 Large, with timestamps and speaker labels.
- [Pretext Text Metrics](https://varg.ai/how-to/skills/pretext-yaniv-golan.md): Measure and fit text without the DOM using pretext: auto-fit sizes, know line breaks before render, canvas/WebGL text.

## Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt