mcpbeat

Media Proxy

gooseworks-ai/media-proxy

Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host. Host-swaps the FAL queue URLs, loads the agent token from ~/.gooseworks/credentials.json, and returns the result CDN URL. Every video-ad media capability imports this; templates never call a provider directly.

5k tokens
context cost
the whole folder, loaded on every use
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill media-proxy

What comes with it

17 931 bytes besides the instruction
scripts/media_proxy.py
scripts/resume.py
skill.meta.json
tests/smoke-test.md

The instruction itself

5 sections, as written by the author

media-proxy

The foundation capability for paid media in the video-ad pipeline. It fixes the

auth-path conflict where engine scripts called FAL/ElevenLabs directly (billing

the wrong account): all paid calls now go through

<api_base>/api/internal/{fal-proxy,elevenlabs-proxy} with ?token=&agent_id=, which

bills the Ads agent.

Crash-resume (never lose / double-bill a paid render)

A FAL submit BILLS immediately, but the local backend can blip during a multi-minute

render. Two built-in protections (automatic for every capability that imports this):

  • Poll-through-outage_fal_run's poll loop re-attaches to the same status/result

URL through connection refused / timeout blips instead of crashing.

  • Persist + resume — each submit's request_id + poll URLs are written to

~/.gooseworks/pending-fal-jobs/. If the poller still dies, **re-attach instead of

re-firing** (re-firing double-bills): resume_fal(request_id) in Python, or the CLI:

  resume.py --list                              # resumable (submitted, unfinished) jobs
  resume.py --request-id <id> --out final.mp4   # poll to completion + download

resume_fal NEVER re-submits, so it can't double-charge.

Use it

from media_proxy import fal_generate, fal_generate_video, eleven_music, download

# image (nano-banana / gpt-image / etc.) — inputs must be PUBLIC urls
img = fal_generate("fal-ai/nano-banana/edit",
                   {"prompt": p, "image_urls": [product_url], "aspect_ratio": "9:16"})
# video i2v (kling / seedance / veo)
vid = fal_generate_video("fal-ai/kling-video/v2.1/standard/image-to-video",
                         {"prompt": p, "image_url": keyframe_url, "duration": "10"})
# music bed
eleven_music(prompt, 10500, "music.mp3", force_instrumental=True)

Contracts (load-bearing)

  • Bills the Ads agent?token=&agent_id= from ~/.gooseworks/credentials.json

(the CLI writes it; run gooseworks login if missing).

  • Host-swap the FAL queue URLs — submit returns status_url/response_url on

queue.fal.run; the helper rewrites them to the proxy base (keeps the path). Never

poll queue.fal.run directly (401 + burns credits).

  • FAL inputs that are local files must be PUBLIC urls. The orchestrator hosts a

local image/audio via the MCP get_upload_urlget_download_url presigned URL and

passes THAT url in. This module does not do MCP uploads (prefer the presigned url;

fal-storage-proxy may 404).

  • Only the final *.fal.media url is a real public URL — everything else is behind

the proxy.

  • Used by create-image-fal, create-video-fal, create-music-elevenlabs.
  • The goose-video orchestrator hosts local inputs (MCP upload → presign) before calling these.

How to use it

Copy the folder

Take gooseworks-ai/media-proxy from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.