Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add krusemediallc/cursor-ad-agent --skill arcads-mcpgit clone --depth 1 https://github.com/krusemediallc/cursor-ad-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/krusemediallc/cursor-ad-agent/arcads-mcp)<a href="https://agentmods.dev/skills/krusemediallc/cursor-ad-agent/arcads-mcp"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/arcads-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/krusemediallc/cursor-ad-agent/arcads-mcp"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/arcads-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00166 | $0.03678 |
| Opus 5 | $0.00083 | $0.01839 |
| Sonnet 5 | $0.00033 | $0.00736 |
| Haiku 4.5 | $0.00017 | $0.00368 |
Grade A, and why
arcads-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Create and retrieve AI images, videos, and audio through the optional Arcads MCP server (no .env, no curl, no presigned-upload scripts) — Nano Banana / gpt-image / Seedream / Grok images, Seedance 2.0 / Sora 2 / Veo 3.1 How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arcads (MCP)
The MCP-native generation engine. Create images, videos, and audio through the
Arcads MCP server — it handles auth, file upload, and generation, so there is
no .env, no HTTP Basic auth, no curl, no presigned-upload scripts, no
session-folder REST calls for generation.
This is the MCP-native version of arcads-external-api. The creative brain
(prompt libraries, model craft, gates) is shared; only the transport changes.
REST arcads-external-api step |
MCP replacement |
|---|---|
curl auth / .env HTTP Basic |
MCP handles auth — no .env for generation |
POST /v2/images/generate |
arcads_generate_image (or _gpt / _nano_banana) |
POST /v2/videos/generate (model:…) |
arcads_generate_video or a model tool (arcads_generate_video_seedance_20, _sora2, _veo31, _kling_30_pro, _grok, …) |
POST /v1/file-upload/get-presigned-url + PUT |
arcads_get_upload_url + PUT (explicit — see Uploading) |
GET /v1/assets/{id} / GET /v1/videos/{id} polling |
arcads_watch_asset (status and URL in one call) |
| N parallel POSTs for N variations | nbGenerations (1–10) in a single call |
| Session folder / project / add-to-project | nothing — productId auto-selects |
ffmpeg stitch / caption burn |
arcads_stitch_videos / arcads_add_subtitles / arcads_add_text_overlay |
whisper transcribe / frame extract |
arcads_analyze_media (Gemini) / arcads_extract_frame |
Tool map (Arcads MCP)
| Goal | Tool |
|---|---|
| Text → image | arcads_generate_image (model enum: nano-banana, nano-banana-2, gpt-image, gpt-image-2, seedream, seedream_5_lite, grok_image) |
| gpt-image-2 image | arcads_generate_image_gpt (≤5 refs) |
| Nano Banana image | arcads_generate_image_nano_banana (nano-banana/nano-banana-2, ≤14 refs) |
| Text/image → video (generic) | arcads_generate_video (aspect 16:9/9:16/1:1, duration 3–15, startFrame/endFrame, nbGenerations, enhance) |
| Model-specific video | arcads_generate_video_seedance_20, _sora2, _veo31, _kling_26_pro, _kling_30_pro, _kling_30_4k, _seedance_15, _grok, _happy_horse |
| Talking-head actor + script/audio | arcads_audio_driven (situation/sourceVideo/image actor × script/audio) |
| TTS | arcads_text_to_speech(script, voiceId); voices via arcads_list_voices |
| Animate a still | arcads_animate_image (kling30-animate / wan22) |
| Analyze a video/image/audio/doc | arcads_analyze_media (Gemini → data.generatedText) |
| Edit | arcads_stitch_videos, arcads_trim_video, arcads_extract_scene, arcads_scene_split, arcads_add_subtitles, arcads_add_text_overlay, arcads_layer_videos, arcads_change_speed_video |
| Upload / register | arcads_get_upload_url, arcads_register_image / _video / _audio |
| Discover | arcads_list_products, arcads_get_product, arcads_list_voices, arcads_list_situations |
| Poll + fetch | arcads_watch_asset (status + signed URL) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 146 lines · 166 tokens per session scan A 513b4c64196a
arcads-mcp is a skill published in the GitHub repository krusemediallc/cursor-ad-agent (10 stars, last pushed 1mo ago), licensed MIT. It adds 166 tokens to every session and 3,678 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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distribea-media
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