MeiGen-AI-Design-MCP
Supports GPT Image 2, Seedance & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system
Runssource: GitHubhomepageTypeScriptMITcommit 788d7c5f0f8b
TypeScript, MIT licensed. The project labels itself: ai image generation, claude, claude code, comfyui, mcp, mcp server, model context protocol and openclaw.
MeiGen-AI-Design-MCP runs. An Argusic agent installed it in 1.5 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Project builds and all 128 library + tool tests pass on Node 18.19.1. The MCP server module loads and the CLI init command responds. The release CI script requires Node 22+ and pnpm which are not available in this container.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- mock.timers.enable() uses Node 20+ object form { apis, now } but runtime is Node 180.2 minutes
- Node 18 mock.timers.reset() causes cancelledByParent on global mock timers0.2 minutes
- mock.timers.enable() doesn't support 'Date' in Node 18, causing Retry-After test to fail0.1 minutes
- scripts/ci/release.test.mjs fails — requires pnpm and node:child_process (Node 22+)
- Install time
- 2 minutes
- Cold machine to finish
- 56 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- npm test, 128 passed, 0 failed, 0 cancelled, across src/lib/*.test.mjs and src/tools/*.test.mjs
- Model tokens used
- 397,546
- Exact commit tested
- 788d7c5f0f8b
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
tokens used
397,546
Here's the summary of all work done:
**Install**: `npm install` fetched 108 packages, `npm run build` (tsc) compiled without errors. ✅
**Test fixes applied** (Node.js 18 compatibility):
1. `fakeClock` in `generation-observation.test.mjs` — removed `Date` from `mock.timers.enable()` si…
2. HTTP-date Retry-After test — removed `fakeClock` dependency, simplified to real-time assertion
3. `runtime-recovery.test.mjs` — changed `mock.timers.enable({ apis: [...] })` → array form for Nod…
4. PUT timeout test — replaced mock-timer-dependent approach with real `setTimeout` rejection to av…
**Test results**: 128/128 pass, 0 fail, 0 cancelled across `src/lib/*.test.mjs` and `src/tools/*.te…
**App verification**: MCP server module loads cleanly, `meigen init --help` CLI works.
**ARGUSIC_RESULT:** {"install_succeeded":true,"launch_succeeded":true,"install_minutes":1.5,"errors…Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 1.5 minutes.
- Recovered from all 4 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 1.5 minutes after the clone.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
Topics (from GitHub)
ai-image-generationclaudeclaude-codecomfyuimcpmcp-servermodel-context-protocolopenclawprompt-engineeringseedance2
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/meigen-ai-design-mcp)Questions
- Does MeiGen-AI-Design-MCP run?
- Yes. MeiGen-AI-Design-MCP runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test MeiGen-AI-Design-MCP?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 788d7c5f0f8b. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test MeiGen-AI-Design-MCP?
- The run that produced this verdict cost $0.66: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does MeiGen-AI-Design-MCP take to install?
- 1.5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does MeiGen-AI-Design-MCP need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing MeiGen-AI-Design-MCP?
- 4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for MeiGen-AI-Design-MCP?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.