jau123/MeiGen-AI-Design-MCP

Highlights

• 🎬 Video generation — new generate_video MCP tool with Seedance 2.0 (fast/pro tiers), Happyhorse 1.0, and Veo 3.1. Supports text-to-video and first-frame / last-frame image-to-video. Local files are auto-uploaded; MP4 saves to ~/Movies/meigen/.
• 💻 Standalone CLI — npx meigen gen --prompt "..." works without an MCP host. Shell-friendly: --json for jq pipelines, --no-wait for CI, --reference for local files (auto-upload). Subcommand sits next to the existing meigen init <host>.
• 🚀 Multi-host support — first-class integration docs for Cursor, Codex (OpenAI CLI), Windsurf, Roo Code, Hermes Agent (NousResearch), plus all existing Claude Code / OpenClaw flows.
• 🎯 /meigen:setup is now a real slash command — fixes the long-standing issue where users couldn't configure their API key through the wizard. Also adapts to Windows shells.

What's New

Tools

• generate_video — new MCP tool. Models: seedance-2-0 (fast/pro), happyhorse-1.0, veo-3.1. First-frame image-to-video via firstFrame param; optional lastFrame for Seedance/Veo. Schema fields (tier, duration, resolution) are z.string() / z.number().positive() so the backend can add new tiers without an MCP release.
• meigen gen CLI — bin/meigen-mcp.js now routes a gen subcommand to src/cli/gen.ts. Supports --prompt, --model, --ratio, --resolution, --quality, --reference, --no-wait, --json. Reuses MeiGenApiClient so behavior matches the MCP tool exactly.

SKILLs / Commands

• plugin/commands/setup.md — interactive provider configuration wizard, finally a proper slash command. Auto-detects platform (macOS / Linux / Windows) and adapts shell commands. Explicit merge-vs-overwrite guidance prevents users from losing an existing ComfyUI config when adding a MeiGen token.
• plugin/skills/product-photoshoot/SKILL.md — workflow that turns one product reference photo into a 4-direction asset set (lifestyle / macro / scale / marketing).
• plugin/skills/social-thumbnail/SKILL.md — 9:16 thumbnail workflow optimized for short-video covers (TikTok / Reels / Shorts).

Docs

• README repositioning: hero block now lists 9 models (GPT Image 2, Nanobanana 2, Seedream 5.0, Midjourney V8.1, Flux 2 Klein, Seedance 2.0, Happyhorse 1.0, Veo 3.1, local ComfyUI), all 8+ host integrations, and the standalone CLI mode. Dropped the Lovart comparison (unknown to English-speaking dev audience) and the "carefully crafted hooks" jargon.
• README.zh-CN.md: translated the missing privacy + custom storage backend sections (was English-only before).
• New DECISIONS.md documents nine load-bearing decisions (no-MCP-defaults, schema-as-string, shared-semaphore, V8.1 unification, mediaType guards, etc.) so future contributors don't reopen settled choices.
• New evals/scenarios.md — 13 manual smoke-test scenarios for regression catching.

Security

• SSRF defense-in-depth for referenceImages URLs (src/lib/url-safety.ts). Rejects file://, data:, private IPs (10/172.16-31/192.168/127), and cloud metadata (169.254.169.254). Applied across generate_image, generate_video, and the CLI. Backend provider downloaders still need their own SSRF filter — this is a client-side layer.
• The setup.md JSON example previously used // comment syntax inside JSON code blocks; rewrote to use markdown headings so an LLM can't accidentally write // into config.json.

Fixes

• Shared API semaphore (src/lib/generation-shared.ts): generate_image and generate_video now share one Semaphore(4) across the same /api/generate/v2 endpoint. Prior code documented sharing but actually used two independent semaphores, which could burst to 8 concurrent submits and trip the backend's 12/min rate limit.
• videoUrl || status.imageUrl fallback removed: if a video model id was misrouted to generate_image (or vice versa), the old code could write a JPEG payload as .mp4. Both tools now have symmetric mediaType guards that fail loudly with a redirect message.
• Setup wizard cross-host: error messages and SERVER_INSTRUCTIONS now branch on Claude Code vs other hosts. Cursor / Codex / Hermes users get the env-var path, not a non-existent /meigen:setup command.
• Linux save paths: MEIGEN_OUTPUT_DIR → XDG_PICTURES_DIR → ~/Pictures/meigen fallback chain (and same for MEIGEN_VIDEO_OUTPUT_DIR → XDG_VIDEOS_DIR → ~/Movies/meigen).
• Generate-video timeout: error message now mentions pg_cron cleanup_orphan_generations (backend auto-refund within ~15 minutes for jobs that never started) so users don't immediately retry and double-pay.
• prompt schema: both generate_image and generate_video now use z.string().trim().min(1) to reject empty and whitespace-only prompts.
• CLI argv parser: rejects --flag followed by another --flag (i.e. missing value), so meigen gen --prompt --json no longer silently submits --json as the prompt.
• CLI poll timeout: waitForGeneration errors now surface the generationId so users can check the web before retrying.

Changed

• Midjourney V8.1 replaces V7 + Niji 7 in all user-facing docs. V8.1 handles photorealistic and stylized/anime output in one model — enhance_prompt(style: 'anime') injects trigger words. Niji 7 remains hidden server-side (extra_config.hidden=true) for legacy modelId compatibility but is not advertised.
• list_models output now shows Status: (New / Busy / Maintenance from backend extra_config.tags) and Cost: (live credits_per_generation from backend response). Updated DECISIONS.md to clarify: live backend numbers may be rendered, only frozen training-data numbers in shipped strings are forbidden.
• Status union narrowed from 'pending' | 'processing' | 'completed' | 'failed' to 'processing' | 'completed' | 'failed' — the backend maps 'pending' → 'processing' before responding.

Internal

• CI (.github/workflows/validate.yml): four jobs — version-sync, pinned-npm-coherence, frontmatter-lint, and typecheck + clean build. The build job asserts that dist/index.js, dist/cli/init.js, and dist/cli/gen.js are produced, catching stale-dist regressions.
• Frontmatter linter (scripts/ci/check-frontmatter.mjs): catches name: fields in agents/commands (derived from filename) and missing required fields in SKILLs.
• package.json files: removed stale "skills/" entry (the directory doesn't exist; plugin SKILLs ship via the GitHub marketplace, not the npm tarball).
• Removed stale dist/tools/upload-reference-image.* artifacts whose source was deleted months ago.

Compatibility

• Node: ≥18 (unchanged).
• MCP hosts: Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, Roo Code, Codex CLI, OpenClaw, Hermes Agent, and any MCP-compatible host that surfaces server instructions.
• No breaking changes to existing tool schemas. tier and duration on generate_video are now string/number instead of enum/range, but accepted values are a superset.

Upgrade Notes

• If you installed via the Claude Code plugin marketplace: /plugin update to pull the new plugin/.mcp.json pin.
• If you use npx -y meigen@latest: nothing to do.
• If you pinned [email protected] in your MCP config: bump to [email protected].
• New env vars are all optional — existing setups keep working without changes.

Acknowledgements

This release went through four adversarial review rounds plus an end-to-end usability audit. Several "must fix" findings turned out to be false positives on inspection — keeping the verify-before-fixing discipline saved a lot of churn.

⚠️ Pricing hotfix — please upgrade from 1.2.9

v1.2.9 had a pricing regression: GPT Image 2.0 became the default model but the server-side resolution fallback stayed at 2K, silently doubling credit cost for users who did not pass resolution explicitly.

v1.2.10 fixes it. gpt-image-2* now defaults to 1K / medium = 10 credits, matching the MeiGen platform product default. 1.2.9 has been deprecated on npm.

If you ran generations with 1.2.9 and relied on the default, your cost per image was ~25 credits instead of 10. Sorry about that.

What's new in 1.2.10

Fix

• gpt-image-2* default resolution: 2K → 1K (10 credits). Other models unchanged.
• Deprecated 1.2.9 on npm.

New generate_image parameters

• resolution: "1K" (default) / "2K" / "4K" — for posters, prints, wallpapers.
• quality: "low" (2 credits @ 1K) / "medium" (default) — for drafts and thumbnails.

Pricing matrix (gpt-image-2): 1K/low ≈ 2, 1K/medium = 10, 2K/medium ≈ 25, 4K/medium ≈ 40 credits.

Better model discovery

• list_models now surfaces each model's supported resolutions and quality tiers (when the MeiGen API reports them), so the host LLM can make informed resolution decisions.
• MeiGenModel type extended with media_type, max_reference_images, extra_config.

Host LLM guidance

• SERVER_INSTRUCTIONS gains a "GPT Image 2.0 resolution / quality" section in Phase 2. Tells the LLM to stay on 1K unless the use case (poster/print/wallpaper) justifies the cost — avoids over-spending on casual chat imagery.

Docs

• openclaw/providers.md and plugin/skills/visual-creative/SKILL.md — model table updated with the resolution × quality pricing matrix and new 1K default.

Upgrade

npx -y [email protected]

Or via plugin:

/plugin install meigen@meigen-marketplace

Synced across: npm [email protected] • Claude Code plugin marketplace • ClawHub skill [email protected] • ClawHub bundle [email protected] • wshobson/agents (PR pending).

What's New

• Default model switched to GPT Image 2.0 (10 credits) — state-of-the-art text rendering for posters, logos, and any typography-heavy imagery
• Retired GPT Image 1.5 from model tables, docs, and examples across all channels

Other Changes

• Cleaned up stale dall-e-3 / flux-schnell references in OpenAI-compatible provider examples
• OpenAI-compatible provider docs now use generic "your model ID" wording — any OpenAI-format endpoint works with any model your service supports
• ClawHub skill (creative-toolkit) bumped to 1.0.25 with updated model catalog

Synced Across

• npm [email protected]
• Claude Code plugin marketplace (meigen)
• ClawHub skill creative-toolkit (1.0.25)
• ClawHub bundle plugin meigen-ai-design
• Third-party marketplaces (wshobson/agents)

Upgrade

npx -y [email protected]

Or via plugin:

/plugin install meigen@meigen-marketplace

Cost note: GPT Image 2.0 costs 10 credits vs Nanobanana 2's 5 credits. If you prefer the previous default for cost reasons, pass model: "nanobanana-2" to generate_image.