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Captionseasy

by Ishaan-Gptversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.Ishaan-Gpt/captionseasy

Install

Overview

Description from the maker (original English)

99 designed animated caption looks for AI video editors: list, inspect and build styled captions.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add captionseasy -- npx -y captionseasy mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "captionseasy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "captionseasy",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Ishaan-Gpt, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2204 servers in this category
  • Published to the registry more recently than 58% of the other 2204 servers in this category
  • Basic checks equal to or better than 100% of the other 2204 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Captionseasy safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 22 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

captionseasy

Bring your words, get styled captions. CaptionsEasy is a caption style layer for developers and AI editing agents: 99 designed, animated caption looks, a validator that turns timed words + a look into ready-to-render caption props, the React/Remotion components that draw them, a CLI and an MCP server.

  • Tiny and dependency-free. npm i captionseasy adds one package, about 1.6 MB, with zero runtime dependencies.
  • Designed looks, not settings soup. Every look has a permanent number (#12 Jumping Box, #105 Classic Subtitle). Each look lists the few controls it really responds to. Anything else is rejected with a clear error instead of silently doing nothing.
  • Agent-ready. Every CLI command has --json. The MCP tools take JSON and return JSON.
  • Runs 100% locally, free. No servers and no API keys. Rendering and speech-to-text are optional add-ons that also run on your machine.

30-second quickstart

You already have word timings, for example from your editor, your ASR or your agent:

[{ "text": "Stop", "startMs": 380, "endMs": 840 }, { "text": "scrolling", "startMs": 840, "endMs": 1080 }]
npx captionseasy looks bold                     # pick a look (search: neon, karaoke, subtitle, "one word" ...)

npx captionseasy look 12 # what can I change on look #12? npx captionseasy build --words words.json --look 12 --set active.boxColor=#FF3366 --out props.json

props.json holds { doc, style, settings }, validated and complete. Render it with the CaptionsEasy composition in your own Remotion timeline (see Use the props in Remotion). If you would rather get a finished video file, add rendering.

Library

import { listLooks, describeLook, buildCaptions } from "captionseasy";

listLooks({ query: "bold" }); // [{ number, id, name, section, tags, description, layout, wordsPerCard }] describeLook(12); // { ...summary, defaults, controls: [{ key, type, min, max, options, default, dependsOn }], settings: [...] }

const props = buildCaptions({ words, // [{ text, startMs, endMs }] look: 12, // number or id ("hormozi_box") overrides: { "active.boxColor": "#FF3366", "position.y": 0.6 }, settings: { maxWordsPerCard: 2 }, // pacing }); // { doc, style, settings, look: { number, id, name }, warnings }

Errors are CaptionsEasyError objects with a stable code: UNKNOWN_LOOK, BAD_OVERRIDE, BAD_SETTINGS, BAD_WORDS, BAD_ARGS, FILE_NOT_FOUND, ADDON_MISSING, NO_AUDIO, NO_VIDEO, TRANSCRIBE_FAILED or RENDER_FAILED. The details field carries machine-readable context, such as the valid keys, the allowed range or the install command.

Overrides can be flat dot paths ({"active.color": "#FF3366"}) or nested objects. Colours can be written as #RGB, #RRGGBB, #RRGGBBAA, rgb()/rgba()/hsl(), or a basic name.

A control with dependsOn only works once another key is set:

  • Harmless switches (outline, shadow, glow, background, gradient) are turned on for you, with a warning.
  • Switches that change the motion are never turned on for you; you get an error saying what to set.

Use the props in Remotion

captionseasy/remotion exports the same composition the CaptionsEasy studio uses. Its peer dependencies are react and remotion (^4.0.484).

import { Composition } from "remotion";

import { CaptionedVideo, CaptionsOverlay, calculateMetadata } from "captionseasy/remotion";

// captions only, transparent: put it on a track above your video

// or captions burned over a video

CaptionsEasyCompositions registers both compositions (CaptionedVideo, CaptionsOverlay). Fonts load from Google Fonts while rendering (free, no key).

CLI

captionseasy looks [query] [--tag <tag>] [--section <id>]   list the looks

captionseasy look one look: defaults + the controls it honours captionseasy build --words --look [--set key=value ...] [--out props.json] captionseasy mcp MCP server on stdio captionseasy --look [--words w.json] ... render a video (add-on captionseasy-render) captionseasy transcribe [--out words.json] speech to timed words (add-on captionseasy-transcribe)

optionmeaning
--look, -l look number (12) or id (hormozi_box)
--words [{text,startMs,endMs}] or { "words": [...] }
--set key=valuechange the look, repeatable. Style keys and pacing keys (maxWordsPerCard, pauseMs, gapBehavior ...) both come from captionseasy look
--overlay / `--format mov\webm`render transparent captions only (ProRes 4444 .mov, or VP9 .webm)
--out, -o output file
`--language en\hinglish\auto`speech language when transcribing
--jsonone JSON document on stdout. Progress goes to stderr. Errors are printed as {"error":{"code","message","details"}} and exit with code 1

MCP server

The tools are `list_looks`, `describe_look`, `build_captions`, `caption_video` and `transcribe`. All take JSON and use local file paths.

  • build_captions works with the core package alone.
  • caption_video and transcribe need their add-on. Without it they return ADDON_MISSING with the exact install command.

To add it to Claude Code:

claude mcp add captionseasy -- npx -y captionseasy mcp

with video rendering:

claude mcp add captionseasy -- npx -y -p captionseasy -p captionseasy-render captionseasy mcp

For Cursor (~/.cursor/mcp.json), Claude Desktop, or any client that takes the usual shape:

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

On Windows, if your client cannot start npx directly, use "command": "cmd", "args": ["/c", "npx", "-y", "captionseasy", "mcp"].

Optional: rendering (captionseasy-render)

npm i captionseasy captionseasy-render        # ~75 MB; a headless Chrome (~100 MB) downloads on first render

npx captionseasy talk.mp4 --look 12 --words talk.words.json # -> talk.captioned.mp4 npx captionseasy talk.mp4 --look 12 --words talk.words.json --overlay # -> talk.captions.mov (alpha)

without a local install:

npx -p captionseasy -p captionseasy-render captionseasy talk.mp4 --look 12 --words talk.words.json

import { render } from "captionseasy";   // loads captionseasy-render on demand

await render({ video: "talk.mp4", words, look: 12, mode: "overlay", overlayFormat: "webm", out: "captions.webm" }); // { out, mode, durationMs, width, height, fps, look, words, renderMs, warnings }

  • Burn mode writes an H.264 MP4 with the original audio.
  • Overlay mode writes ProRes 4444 .mov or VP9 .webm, both with an alpha channel, at the video's size and length.
  • The add-on ships the composition pre-bundled, so no webpack runs on your machine. It uses the ffmpeg that comes with Remotion.

Optional: transcription (captionseasy-transcribe)

No word timings yet? This add-on runs Whisper locally, using whisper-base with word timestamps through transformers.js on onnxruntime-node.

  • onnxruntime-node ships prebuilt binaries, so nothing is compiled.
  • The add-on is about 540 MB installed, plus a speech model downloaded once into your user cache (about 200 MB for English, about 77 MB for Hinglish).
npm i captionseasy captionseasy-transcribe

npx captionseasy transcribe talk.mp4 --out talk.words.json # [{ text, startMs, endMs }]

With both add-ons installed, captionseasy talk.mp4 --look 12 transcribes and renders in one step.

JSON shapes

// describe_look / captionseasy look 12 --json (trimmed)

{ "number": 12, "id": "hormozi_box", "name": "Jumping Box", "section": "popular", "layout": "sentence", "wordsPerCard": 3, "defaults": { "fontSize": 58, "active.boxColor": "#22C55E", "position.y": 0.72 }, "controls": [ { "key": "fontSize", "label": "Size", "type": "number", "min": 24, "max": 140, "step": 1, "default": 58 }, { "key": "active.effect", "label": "Spoken-word effect", "type": "enum", "options": ["none", "color", "box"], "default": "box" }, { "key": "stroke.width", "label": "Outline width", "type": "number", "min": 1, "max": 16, "default": 3, "dependsOn": "stroke.enabled=true" } ], "settings": [{ "key": "maxWordsPerCard", "type": "number", "min": 1, "max": 12, "default": 3 }] }

// build_captions / buildCaptions { "doc": { "version": 2, "language": "en", "words": [{ "id": "a1b2c3d4e5f6", "text": "Stop", "startMs": 380, "endMs": 840 }] }, "style": { "templateId": "boxed_word", "fontId": "Montserrat", "...": "every field filled in" }, "settings": { "maxWordsPerCard": 3, "pauseMs": 400, "...": "..." }, "look": { "number": 12, "id": "hormozi_box", "name": "Jumping Box" }, "warnings": [] }

// any error { "error": { "code": "BAD_OVERRIDE", "message": "Unknown style key \"wobble\". Jumping Box (#12) accepts: fontId, fontSize, ...", "details": { "validKeys": ["fontId", "..."] } } }

Licences

  • captionseasy: MIT (see LICENSE).
  • Rendering uses Remotion. Remotion is free for individuals and for companies of up to 3 people; larger companies need a Remotion company licence. This applies whether you render with captionseasy-render or render the components in your own Remotion project.
  • Speech models (transcribe add-on): OpenAI Whisper (MIT), via onnx-community/whisper-base_timestamped. The Hinglish model is ishaan-g/whisper-hinglish-swift_timestamped.
  • Fonts: Google Fonts (open licences).
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