gemini-designer-mcp
Provides AI-powered UI design, repo intelligence, and frontend code generation tools, enabling assistants to scaffold projects, generate and modify UI components, manage design tokens, and analyze repositories.
README
Gemini Designer MCP
AI-powered UI design and code generation for your coding assistant
An MCP server that gives your AI coding assistant 17 tools for UI design, repo intelligence, and frontend code generation.
Install
npx gemini-designer init --local
That's it. The CLI will:
- Detect your MCP clients (Cursor, Gemini CLI, VS Code, Claude, Codex, Windsurf, Zed, Antigravity)
- Let you choose which to configure
- Set up Gemini Designer automatically
Tools
| Tool | What it does |
|---|---|
generate_vibes |
Design tokens, themes, color palettes |
scaffold_project |
Plan + scaffold multi-file project structure (React/Next/Vue/SvelteKit/Remix/Angular) |
ui_generate |
Unified generator that returns a multi-file FileBundle (no writing) |
modify_ui |
Edit existing UI code (supports multi-file targets) |
generate_component_variants |
Add variants (+ optional Storybook file) |
ui_review |
Screenshot + target files → patchable FileBundle |
analyze_tokens |
Extract tokens from CSS |
sync_design_tokens |
Convert tokens between CSS/Tailwind/Tokens Studio |
detect_ui_stack |
Auto-detect framework & libraries |
catalog_components |
Index your components |
repo_tree |
Fast filtered repo file listing |
repo_read_files |
Read multiple files safely (truncation + sha256) |
repo_get_file_meta |
File metadata (exists/size/mtime + optional sha256) |
repo_search |
Text search (ripgrep-powered) |
apply_file_bundle |
Generic writer tool to apply multi-file bundles |
validate_project |
Run allowlisted scripts (lint/typecheck/build) (disabled by default) |
prompting_guide |
High-signal prompting templates |
Usage
Local mode is free and uses your own Gemini API key:
npx gemini-designer init --local
The server also retains a remote mode for compatible self-hosted gateways. The former hosted Gemini Designer service is currently unavailable and is not required for local use.
Auto-Detected Clients
The CLI automatically detects and configures these MCP clients:
| Client | Config Path |
|---|---|
| Cursor | ~/.cursor/mcp.json |
| Gemini CLI | ~/.gemini/settings.json |
| VS Code | ~/.vscode/settings.json |
| Claude Code | ~/.claude/mcp.json |
| OpenAI Codex | ~/.codex/config.toml |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Zed | ~/.config/zed/settings.json |
| Antigravity | ~/.gemini/antigravity/mcp_config.json |
Docs
Maintainer/agent docs live in this repo under docs/.
License
MIT
推荐服务器
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。
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。
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。
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。
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。
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。
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。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器