io.github.industriesfatty-spec/fattly
NPM · FATTLY · 2 COMPONENTS
AI images, video, voiceovers and UGC ads from 50+ models. Official MCP server for fattly.app.
Available components
Last scanned (2 hours ago)
Scores higher than 76% of npm servers
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 50 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability74
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 894 tokens (~149/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
- Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 −1
- Stability: pass → 0.90 functional
- 29 Oct 26 0
- Stability: 0.97 → pass security
- 28 Oct 26 0
- Stability: pass → 0.97 functional
- 22 Oct 26 0
- Stability: 0.97 → pass security
- 21 Oct 26 0
- Stability: pass → 0.97 functional
- 17 Oct 26 +2
- Stability: 0.80 → pass security
- 16 Oct 26 −2
- Stability: pass → 0.80 functional
- 15 Oct 26 0
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/fattly@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
fattly_credits Check credit balance ~42
Shows the current credit balance on the FATTLY account. Read-only and free — call it before an expensive generation to make sure the user has enough credits.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
fattly_generate_audio Generate a voiceover or music ~143
Generates AI audio: a voiceover (mode=speech) from text, or music (mode=music) from a description. Returns a link to the mp3 file. Spends credits (price in fattly_list_models → audio); refunded automatically if the generation fails.
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | yes | speech = voiceover, music = music. |
| seconds | integer | – | Music length: 15, 30 or 60 (music only). |
| text | string | yes | Text to read (speech) or a music description (music). |
| voice | string | – | Voiceover voice, e.g. Rachel, Aria, George (speech only). |
No output schema declared.
No examples provided.
fattly_generate_image Generate an image ~282
Generates an AI image from a prompt (or edits uploaded images). Returns links to the finished images. Spends credits: model price × numImages (see fattly_list_models); fails with an error if the balance is too low, and credits are refunded automatically when a generation fails. Prompts must be safe-for-work.
| Name | Type | Req | Description |
|---|---|---|---|
| aspectRatio | string | – | Aspect ratio, e.g. 1:1, 16:9, 9:16 (default 1:1). |
| inputImageUrl | string | – | Optional single input image for editing / face-swap models — must be a fal URL. Get one by uploading a local photo with fattly_upload_image. |
| inputImageUrls | array | – | Optional MULTIPLE input images (fal URLs) for multi-image edit models like nano-banana-2-edit / nano-banana-pro-edit. Typical swap use: image #1 = the scene/frame to keep (background, framing, lighti… |
| model | string | – | Model id (default nano-banana-2). List: fattly_list_models. |
| numImages | integer | – | Number of images 1–4 (default 1). |
| prompt | string | yes | Description of the image to generate. |
No output schema declared.
No examples provided.
fattly_generate_video Generate a video ~251
Generates an AI video from a prompt (or from a start image). Takes a few minutes — the tool waits (up to 10 min) and returns a link to the mp4 file. Video is the most expensive operation: it spends the model's credit price (see fattly_list_models), so confirm the model and cost with the user first. Credits are refunded automatically if the generation fails.
| Name | Type | Req | Description |
|---|---|---|---|
| aspectRatio | string | – | Aspect ratio, e.g. 16:9, 9:16, 1:1 (default 16:9). |
| duration | integer | – | Clip length in seconds (model dependent). |
| inputImageUrl | string | – | Optional start image for image-to-video — must be a fal URL. Get one by uploading a local photo with fattly_upload_image. |
| model | string | – | Video model id (default kling-3-standard), e.g. kling-3-pro, veo-3-1, veo-3-1-fast, seedance-2-5, hailuo-3, ltx-2-5. Full list with prices: fattly_list_models. |
| prompt | string | yes | Description of the video scene. |
No output schema declared.
No examples provided.
fattly_list_models List models and prices ~60
Returns available models and their cost in credits (images, video, audio). Read-only and free. Use before generating to pick the right model id and to tell the user what a generation will cost.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Optional category filter. |
No output schema declared.
No examples provided.
fattly_upload_image Upload a local image ~116
Uploads a local image file (JPG, PNG or WEBP) to FATTLY and returns a public fal URL. Use this to turn a photo on disk into an inputImageUrl for editing / face-swap / image-to-video models: pass the returned URL as inputImageUrl to fattly_generate_image or fattly_generate_video. No credits are charged for the upload.
| Name | Type | Req | Description |
|---|---|---|---|
| filePath | string | yes | Absolute path to a local image file (JPG, PNG or WEBP), max 10 MB. |
No output schema declared.
No examples provided.
How do I install the io.github.industriesfatty-spec/fattly MCP server?
io.github.industriesfatty-spec/fattly runs locally as an npm package, launched with npx -y fattly. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · fattly
claude mcp add industriesfatty-spec-fattly -- npx -y fattly
What is the io.github.industriesfatty-spec/fattly MCP server?
io.github.industriesfatty-spec/fattly is an MCP server listed in the public MCP registry as io.github.industriesfatty-spec/fattly. AI images, video, voiceovers and UGC ads from 50+ models. Official MCP server for fattly.app. This page covers its npm package (fattly).
Is the io.github.industriesfatty-spec/fattly MCP server safe to use?
io.github.industriesfatty-spec/fattly scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.industriesfatty-spec/fattly MCP server expose?
io.github.industriesfatty-spec/fattly exposes 6 tools: fattly_credits, fattly_list_models, fattly_upload_image, fattly_generate_image, fattly_generate_video, fattly_generate_audio. Their descriptions and schemas cost roughly 894 tokens of context every time the server is loaded.
Is the io.github.industriesfatty-spec/fattly MCP server still maintained?
io.github.industriesfatty-spec/fattly is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.industriesfatty-spec/fattly MCP server under?
io.github.industriesfatty-spec/fattly declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.