user-majico-mcp

user-majico-mcp

MCP server for Majico.xyz that enables coding agents to read (and limited write) brand guidelines, design tokens, studio canvas, and export manifests.

Category
访问服务器

README

user-majico MCP server

MCP server for Majico.xyz: read (and limited write) tools so coding agents can pull brand guidelines, design tokens, studio canvas, and export manifests.

Requirements: Majico account with tokens. Cursor humans connect via OAuth (no API key in mcp.json). API keys are for automation/stdio only.

Install

npx -y user-majico-mcp@0.4.1

Environment variables (v0.2+)

Set once in MCP config — tools do not require projectId / apiKey on every call:

Variable Description
MAJICO_API_URL API base (default http://localhost:3000; production https://api.majico.xyz)
MAJICO_PROJECT_ID Project UUID
MAJICO_API_KEY Project API key

Per-call overrides in tool arguments still work.

Tools

Tool Description
get_brand_profile Archetypes, niche intent
get_design_tokens Palette and fonts
get_logo_svg Selected logo SVG
get_guidelines Markdown + LLM prompt
get_design_md DESIGN.md markdown
get_studio_canvas Studio canvas snapshot
get_export_manifest Export file list
download_export_zip Full BRAND.md / DESIGN.md / tokens ZIP (base64 in MCP response)
submit_brief Submit product brief + enqueue niche research
update_studio_html_frame Patch one htmlFrame (requires elementId, html)
generate_asset Enqueue harness jobs (landing-page, investor-pack, investor-one-pager, investor-data-room, …)
get_asset_status Poll harness job status

Cursor agent example: generate_asset for investor pack

After brand chain, palette, GTM, team, and traction are ready:

{
  "tool": "generate_asset",
  "arguments": {
    "skillId": "investor-pack",
    "params": {
      "team": {
        "members": [
          { "name": "Alex Kim", "role": "CEO", "bio": "ex-Stripe PM" }
        ]
      },
      "traction": {
        "metrics": [{ "label": "Waitlist", "value": "1,200" }]
      },
      "includeSlides": ["financials"]
    }
  }
}

Poll with get_asset_status({ jobId }). Preflight failures return HTTP 422 with code: "investor_pack_preflight_blocked" and a blocked reason (brand, gtm, team, traction, …).

Phase 2: one-pager and data room (after deck exists on canvas)

{
  "tool": "generate_asset",
  "arguments": {
    "skillId": "investor-one-pager"
  }
}
{
  "tool": "generate_asset",
  "arguments": {
    "skillId": "investor-data-room"
  }
}

Both require a harness-investor-pack element on the Studio canvas (generate investor-pack first). Without a deck, jobs return a stub with canvasUrl pointing to finish the deck.

Cursor .cursor/mcp.json (OAuth — preferred)

{
  "mcpServers": {
    "majico": {
      "url": "https://api.majico.xyz/mcp"
    }
  }
}

Complete Connect in Cursor Settings → MCP. Use list_projects and pass projectId on tool calls to switch scope.

Cursor .cursor/mcp.json (stdio — automation / local)

{
  "mcpServers": {
    "majico": {
      "command": "npx",
      "args": ["-y", "user-majico-mcp@0.4.1"],
      "env": {
        "MAJICO_API_URL": "https://api.majico.xyz",
        "MAJICO_PROJECT_ID": "<uuid>",
        "MAJICO_API_KEY": "<key>"
      }
    }
  }
}

HTTP MCP (hosted)

OAuth (Cursor humans): https://api.majico.xyz/mcp — Connect in Cursor; no headers in mcp.json.

API key (automation only):

Authorization: Bearer <project_api_key>
X-Majico-Project-Id: <uuid>

Development

cd packages/user-majico-mcp
npm install
npm run build
npm test

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选