Appo MCP
An MCP server that streamlines the integration of the @appolabs/appo SDK into web applications by providing tools for code generation, setup validation, and debugging. It enables AI assistants to generate React hooks and components for mobile-web features like push notifications, biometrics, and native device APIs.
README
@appolabs/appo-mcp
MCP (Model Context Protocol) server for improving developer experience when integrating the @appolabs/appo SDK into web applications.
Features
This MCP server provides AI assistants with tools, resources, and prompts to help developers:
- Generate Code - Create hooks, components, and scaffolding for SDK features
- Validate Setup - Check SDK installation and configuration
- Search Documentation - Access API reference, examples, and best practices
- Debug Issues - Diagnose and fix common integration problems
Installation
For Claude Code / Cursor
Add to your .mcp.json:
{
"mcpServers": {
"appo": {
"command": "npx",
"args": ["-y", "@appolabs/appo-mcp"]
}
}
}
For Development
git clone https://github.com/appolabs/appo-mcp.git
cd appo-mcp
pnpm install
pnpm build
pnpm start
Available Tools
Code Generation
| Tool | Description |
|---|---|
generate_hook |
Generate a React hook for any SDK feature |
generate_component |
Generate a UI component with SDK integration |
scaffold_feature |
Scaffold complete feature with hook, component, and types |
Validation
| Tool | Description |
|---|---|
validate_setup |
Validate SDK installation and configuration |
check_permissions |
Analyze permission handling patterns |
diagnose_issue |
Diagnose common SDK integration issues |
Available Resources
| URI | Description |
|---|---|
appo://overview |
SDK overview and capabilities |
appo://api/{feature} |
API reference for each feature |
appo://examples/{feature} |
Code examples per feature |
appo://best-practices |
Integration best practices |
appo://troubleshooting |
Common issues and solutions |
Features: push, biometrics, camera, location, haptics, storage, share, network, device
Available Prompts
| Prompt | Description |
|---|---|
setup_wizard |
Interactive setup guidance for new/existing projects |
integrate_feature |
Step-by-step feature integration guide |
debug_assistant |
Troubleshooting assistant for SDK issues |
Usage Examples
Generate a Hook
Ask your AI assistant:
"Generate a push notifications hook using the appo SDK"
The assistant will use generate_hook with feature: "push".
Validate Setup
"Check if my @appolabs/appo setup is correct"
The assistant will use validate_setup with your package.json.
Debug an Issue
"Push notifications always return denied"
The assistant will use diagnose_issue and check_permissions to help.
SDK Features
The @appolabs/appo SDK provides access to:
- Push Notifications - Request permission, get tokens, receive notifications
- Biometrics - Face ID / Touch ID authentication
- Camera - Capture photos
- Location - GPS coordinates
- Haptics - Tactile feedback
- Storage - Persistent key-value storage
- Share - Native share sheet
- Network - Connectivity status
- Device - Platform and device info
Development
# Install dependencies
pnpm install
# Build
pnpm build
# Watch mode
pnpm dev
# Run server
pnpm start
# Type check
pnpm typecheck
# Test
pnpm test
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。
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。
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。
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。
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。
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。
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
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。