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MeiGen AI Design MCP

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Open-source image and video generation MCP server for major AI coding tools
GitHub source repository ↗
★ 1.6k Stars Category · Other Very popular
55FMRS · C
Reliability
8/20
Security and permissions
11/20
Maintenance
9/20
Documentation
14/20
Setup experience
13/20

Based on the supplied repository material, this is an MIT-licensed open-source stdio MCP server for AI image and video generation. The evidence documents 8 tools, three backend types, 1,446 prompt templates, and integrations with multiple AI clients. It is not maintained by the upstream model or MCP protocol owner, so official is false.

Read the FMRS scoring method →

MeiGen AI Design MCP turns AI coding tools into design assistants with 8 tools, 1,446 curated prompts, prompt enhancement, image and video generation, ComfyUI workflow management, and parallel batch generation through sub-agents. It supports MeiGen Cloud, OpenAI-compatible APIs, and local ComfyUI backends.

Tools

search_gallery
Search 1,446 curated trending prompts with visual previews.
get_inspiration
Retrieve the full prompt, all images, and metadata for a gallery entry.
enhance_prompt
Transform a brief idea into a professional image prompt.
list_models
List models available from configured providers.
comfyui_workflow
List, view, import, modify, or delete ComfyUI workflow templates.
manage_preferences
Remember preferred styles, aspect ratios, models, and favorite prompts.
generate_image
Generate an image and route it to the best available provider; local reference images are compressed and uploaded.
generate_video
Generate video through the MeiGen platform, supporting text-to-video and first-frame image-to-video.

Setup

Run the meigen package with npx and add the example configuration to a compatible MCP client configuration file. Before generating images or videos, configure local ComfyUI, MeiGen Cloud, or an OpenAI-compatible API with /meigen:setup or the documented environment variables. The first npx run requires network access.

claude_desktop_config.json
{"mcpServers":{"meigen":{"command":"npx","args":["-y","[email protected]"],"env":{"MEIGEN_API_TOKEN":"meigen_sk_..."}}}}

Fit and risk

Best for

  • Users creating images or videos inside AI coding tools
  • Design workflows that benefit from curated prompts and prompt enhancement
  • Users with a local GPU or an image-generation API backend

Not for

  • Users who only need text or conventional coding capabilities
  • Users who do not want prompts or reference images sent to third-party cloud APIs unless using local ComfyUI
  • Users without a configured generation backend or API credentials who need image or video generation

Required permissions

  • Run npx and access the npm package
  • Provide an API key or token for MeiGen Cloud or an OpenAI-compatible API
  • Access the configured ComfyUI service when using local generation
  • Send prompts and, where applicable, reference images to the configured service; local reference images may be uploaded
  • Write configuration and generated results to local configuration, image, and video directories

Risks and side effects

  • Cloud backends receive prompts and reference images, with privacy handling determined by the provider
  • Reference images are uploaded to Cloudflare R2 and expire automatically after 24 hours
  • Image and video generation may incur service costs or be limited by model, resolution, and quality capabilities
  • Local files may be compressed and uploaded when using non-ComfyUI backends
  • Video generation can take several minutes and may fail if client timeouts are too short

Troubleshooting

  1. Restart Claude Code or the client after installation or configuration changes
  2. Run /meigen:setup to check provider, token, API URL, and workflow settings
  3. Check MEIGEN_API_TOKEN, OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL, and COMFYUI_URL; environment variables take priority
  4. For first-run npx downloads or video generation, check connect_timeout and timeout settings
  5. Use list_models to inspect supported models, resolutions, and quality tiers
  6. With ComfyUI, verify that the service is running at the configured URL and that the workflow uses API format

Use cases

Search for design inspiration and prompt templates
Generate product photos, logos, and other images
Animate still images into video
Run local generation with ComfyUI workflows
Generate batch design variations in parallel
Use the standalone CLI in shell scripts or CI

Supported clients

Claude CodeFull support
CursorFull support
CodexFull support
WindsurfFull support
Roo CodeFull support
OpenClawFull support
Hermes AgentFull support