Aicontentdrop MCP Server

aicontentdrop

Official CLI and TypeScript SDK for AI Content Drop — generate AI video and images across 35+ models from the terminal or from code.

No runtime dependencies. Works with npx, no install and no API key for anything read-only.

npx aicontentdrop models --type video --max-credits 15

Install

npm install -g aicontentdrop    # CLI
npm install aicontentdrop       # SDK

Authentication

Reading the model catalogue, quoting costs, and asking questions need no credential. Generating needs an API key you create at Settings → Integrations — any account works, the free tier includes 10 credits.

export ACD_API_KEY=acd_live_…

Each key can carry a daily credit ceiling, so an agent holding it cannot overspend the budget you set.

CLI

acd models --type video --max-credits 20     # catalogue with credit costs
acd cost kling_3_0 --quantity 4              # quote before committing
acd ask "which models generate audio?"       # natural-language lookup
acd me                                       # account and credit balance
acd generate "a golden retriever surfing at sunset" --model kling_3_0 --wait
acd status <video_id>
acd list --limit 20                          # cursor-paginated
acd list --all                               # follows the cursor for you
acd register --name my-agent                 # read-scoped agent token

Every command prints JSON by default so scripts and agents can parse it; add --pretty for humans. Failures print JSON to stderr and exit non-zero (2 failure, 3 rate limited).

Rehearse anything that would cost credits:

acd generate "…" --model kling_3_0 --sandbox   # no provider call, no credits

SDK

import { AiContentDrop } from "aicontentdrop";

const acd = new AiContentDrop({ apiKey: process.env.ACD_API_KEY });

const models = await acd.models({ type: "video", maxCredits: 20 });

// Submit and poll until the render exists. Sends an Idempotency-Key by default,
// so a retry after a dropped response cannot charge twice.
const video = await acd.generateVideoAndWait(
  { prompt: "a golden retriever surfing at sunset", aiModel: "kling_3_0" },
  { onProgress: (v) => console.error(v.status) },
);
console.log(video.video_url);

// Pagination handled for you
for await (const item of acd.allVideos()) {
  console.log(item.id, item.status);
}

Errors throw AcdError with status, code, and retryAfter (on 429).

For AI agents

• MCP server: POST https://aicontentdrop.com/mcp (Streamable HTTP) — manifest at /.well-known/mcp.json
• Docs-only MCP: POST https://aicontentdrop.com/mcp/docs
• Agent contract: /auth.md
• OpenAPI 3.1: /openapi.json
• Python SDK: python/ — same API surface, zero runtime dependencies, on PyPI as aicontentdrop (pip install aicontentdrop)
• Skills: skills/ — model selection, prompt writing, batch runs, error handling, credits, image generation. Also served per skill at https://aicontentdrop.com/skills/<name>/SKILL.md, indexed at /skills/index.json
• Agent plugin: plugin.json + mcp.json (Agent Plugins v1.0.0)
• Coding-agent rules for this repo: AGENTS.md

Links

Documentation https://aicontentdrop.com/developers · Support support@aicontentdrop.com

MIT licensed.