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MCP servers/AI & LLM Tools
ajantoniou avatar

Uploadcheck

ajantoniou/uploadcheck-mcp

A thin wrapper around the hosted UploadCheck API that lets Claude quality-check media files before upload. You get timestamped flags for video, audio, and podcast files with checks like repeat fatigue, spoken leaks, script faithfulness, and thumbnail readability. Call qc_run_local_file on a local export or qc_run_video with a URL, then poll for the report. Small files go inline via base64, larger ones use signed URLs. Supports sidecar inputs like transcripts, locked scripts, watchlists, and storybook manifests to catch issues without burning model tokens. The pipeline handoff tools give you the full production runbook for NTO long-form or NPO podcast workflows, including cost estimates and repair loops. Useful when you want deterministic publish-readiness gates before hitting upload.

last updated
Jun 10, 2026
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Configuration

UPLOADCHECK_API_BASE_URL*default: https://api.uploadcheck.app

UploadCheck API base URL

UPLOADCHECK_API_KEY*secret

Workspace API key from your UploadCheck setup email (get one at https://uploadcheck.app/checkout/)

Readme

๐ŸŽฌ UploadCheck MCP

The quality gate between your AI and "publish".

Your agent can generate video. It can't tell you the audio cut out at 0:08, a frame froze at the stitch seam, or the captions are cropped. UploadCheck can โ€” and hands back the exact timestamps to fix.

npm License: MIT For: Claude Code ยท Cursor ยท Codex Free tier

For anyone whose agent, pipeline, or editor produces media that ships to real people โ€” AI-video pipelines, Shorts/Reels, podcasts, client deliverables.


The problem

An agent that writes code can run the tests. An agent that renders a video has no idea whether it's broken.

So the broken export ships: silence where narration should be, a frozen frame where two clips were stitched, lips out of sync, captions clipped by the platform UI, loudness well off target. Somebody notices in the comments.

UploadCheck is the check your agent calls before it publishes. Point it at the finished file. It returns PASS, WATCH, or BLOCK with per-flag timestamps and machine-actionable fixes โ€” so the agent repairs only the flagged span and re-checks, instead of guessing or shipping.

Install

npx -y @drantoniou/uploadcheck-mcp
Claude Code
claude mcp add --env UPLOADCHECK_API_BASE_URL=https://api.uploadcheck.app \
  --env UPLOADCHECK_API_KEY=YOUR_KEY \
  --transport stdio --scope user uploadcheck -- npx -y @drantoniou/uploadcheck-mcp
Cursor / Claude Desktop (mcp.json)
{
  "mcpServers": {
    "uploadcheck": {
      "command": "npx",
      "args": ["-y", "@drantoniou/uploadcheck-mcp"],
      "env": {
        "UPLOADCHECK_API_BASE_URL": "https://api.uploadcheck.app",
        "UPLOADCHECK_API_KEY": "YOUR_KEY"
      }
    }
  }
}
Codex
codex mcp add uploadcheck \
  --env UPLOADCHECK_API_BASE_URL=https://api.uploadcheck.app \
  --env UPLOADCHECK_API_KEY=YOUR_KEY \
  -- npx -y @drantoniou/uploadcheck-mcp

Get a free key at uploadcheck.app โ€” 40+ gates, 200 checked minutes/month, no card. Machine-readable install snippets for every client live in mcp-install.json.

Keep your key private. It's a secret bearer token tied to your plan minutes. Put it in your personal MCP config โ€” never in a committed file, a shared prompt, or a report.

Use it

Once installed, just ask:

check ./final-cut.mp4 before I upload

The agent calls qc_run_local_file, polls qc_get_job, then reads qc_get_report and shows you the flags with timestamps.

What it checks

40+ automated gates run on every check, including:

Picturefrozen/looped frames, black frames, canvas fit & pillarboxing, temporal warping, flicker, interlace combing
Audiodead air, clipping, loudness (LUFS) & true peak, loudness range, channel balance, mains hum, dropouts
Sync & textlip/audio drift, caption safe-area, text contrast, cropped or overlapping text
Deliveryresolution/codec/frame-rate spec, Shorts/Reels format

Paid plans add AI "oracle" gates โ€” garbled speech, duplicated faces in AI crowds, narration match.

What it doesn't do: it doesn't tell you whether a clip was AI-generated. It assumes it might be, and checks whether it's clean enough to publish.

Tools

ToolWhat it does
qc_estimate_costEstimate checked minutes and effective gates before running
qc_run_local_fileCheck a local export (reads the file, sends it to the hosted API)
qc_run_videoCheck a YouTube URL, signed URL, upload id, or base64 payload
qc_get_jobPoll status, progress, verdict, metered minutes
qc_get_reportThe finished report: verdict + timestamped flags + evidence
qc_get_eventsLifecycle events, so the agent can explain what ran
qc_get_artifactsList generated report artifacts
qc_get_marker_csvEditor marker CSV (drop flags straight into your NLE timeline)
qc_create_upload_urlSigned upload URL for larger files

Pass idempotency_key to qc_run_video when an agent might retry the same asset โ€” the API returns the existing job instead of duplicating the run.

Use profile when you know the media type but don't want to hand-pick gates: auto, shorts, audio, thumbnail, generic_creator_video, and named delivery targets like youtube_shorts, podcast_delivery, broadcast_r128, ai_render_gate. Explicit checks always win.

Environment

export UPLOADCHECK_API_BASE_URL="https://api.uploadcheck.app"
export UPLOADCHECK_API_KEY="<workspace_api_key>"

This package is a thin MCP client over the hosted UploadCheck API โ€” checks run server-side, not on your machine. Small and medium local files can be sent inline (base64) without durable storage; use signed upload URLs for large ones.

Links

  • Website & free key โ€” uploadcheck.app
  • Docs (API + MCP + full gate reference) โ€” uploadcheck.app/docs
  • Signed PASS/BLOCK receipts โ€” uploadcheck.app/docs/receipts

License

MIT โ€” see LICENSE.

Details

Repository
github.com/ajantoniou/uploadcheck-mcp
Website
uploadcheck.app
Category
AI & LLM Tools
Package
@drantoniou/uploadcheck-mcp
Transport
STDIO
Auth
Required
Registry
MCP registry, active

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