Sonic MCP Server
Enables AI agents to manage events, venues, songs, and users via the Sonic API, with integrated Spotify and Google Maps search.
README
Sonic MCP Server
A Model Context Protocol (MCP) server that enables AI agents to interact with the Sonic API for managing events, venues, songs, and users.
Overview
This MCP server provides a comprehensive interface for AI agents to:
- Manage Events: Create, read, update, delete events with full CRUD operations
- Manage Venues: Handle venue information including addresses and capacity
- Handle Songs: Music data management with Spotify integration
- User Management: Profile operations and authentication
- Search Integration: Spotify music search and Google Maps places
- Real-time Interaction: Direct API communication with proper authentication
Features
🎪 Event Management
- Create events with dates, venues, and attendee limits
- Search and filter events by name, owner, or description
- Include related data (venues, users, songs) in responses
- Support for public/private events
🏢 Venue Management
- Create venues with detailed address information
- Manage venue capacity and descriptions
- Link venues to events
- Search venues by location or name
🎵 Music Integration
- Add songs to your library
- Search Spotify for tracks
- Link songs to events
- Manage music metadata (artist, album, genre)
👥 User Operations
- View user profiles
- Update account information
- Admin functions for user management
- Authentication and authorization
🗺️ Location Services
- Search places using Google Maps
- Get detailed place information
- Address autocomplete functionality
Installation & Setup
Prerequisites
- Node.js 18+
- TypeScript
- Access to Sonic API with valid JWT token
Quick Start
-
Install dependencies:
npm install -
Build the project:
npm run build -
Set your authentication token:
# Windows (PowerShell) $env:SONIC_API_TOKEN = "your-jwt-token-here" # macOS/Linux export SONIC_API_TOKEN="your-jwt-token-here" -
Run the server:
npm start
Configuration
Environment Variables
SONIC_API_TOKEN: Your JWT authentication token (required)SONIC_API_BASE_URL: API base URL (default: https://localhost:5001/api)
Getting Your JWT Token
curl -X POST https://localhost:5001/api/auth/login \
-H "Content-Type: application/json" \
-d '{
"email": "your-email@example.com",
"password": "your-password"
}'
AI Client Integration (Claude Desktop)
Add to your Claude Desktop configuration:
{
"mcpServers": {
"sonic-api": {
"command": "node",
"args": ["C:\\path\\to\\sonic-mcp-server\\build\\index.js"],
"env": {
"SONIC_API_TOKEN": "your-jwt-token-here"
}
}
}
}
Available Tools
Event Tools
get_events- List events with filtering and paginationget_event- Get specific event detailscreate_event- Create new eventupdate_event- Modify existing eventdelete_event- Remove event
Venue Tools
get_venues- List venues with searchget_venue- Get venue detailscreate_venue- Add new venueupdate_venue- Modify venue infodelete_venue- Remove venue
Song Tools
get_songs- List music libraryget_song- Get song detailscreate_song- Add song to libraryupdate_song- Update song infodelete_song- Remove song
User Tools
get_users- List users (admin)get_user- Get user profileget_current_user- Get your profileupdate_user- Update user info
Integration Tools
search_spotify- Search Spotify catalogget_spotify_token- Check Spotify authsearch_places- Find locationsget_place_details- Get place info
Usage Examples
Natural Language Commands
Once configured with an AI assistant, you can use natural language:
- "Show me all events happening this week"
- "Create a new venue called 'The Blue Note Jazz Club' in New York"
- "Search Spotify for Beatles songs"
- "Find events at Madison Square Garden"
- "Update my user profile with a new email"
Direct Tool Calls
{
"name": "create_event",
"arguments": {
"name": "Summer Music Festival",
"description": "Outdoor music event",
"startDate": "2024-07-15T18:00:00Z",
"maxAttendees": 500,
"isPublic": true
}
}
Development
Scripts
npm run build- Compile TypeScriptnpm run dev- Watch mode for developmentnpm run clean- Remove build filesnpm start- Run the compiled server
Project Structure
src/
├── index.ts # Main MCP server
├── sonic-client.ts # API client wrapper
└── types.ts # TypeScript definitions
.vscode/
└── mcp.json # VS Code MCP configuration
.github/
└── copilot-instructions.md # AI coding assistance
Debugging in VS Code
The project includes VS Code debugging support. You can now debug this MCP server using VS Code with proper breakpoints and debugging tools.
Security & Authentication
- JWT Authentication: All API calls require valid JWT token
- Permission System: Cascading ownership with admin overrides
- Environment Variables: Secure token storage
- Error Handling: Comprehensive error messages without exposing sensitive data
API Compatibility
Compatible with Sonic API endpoints:
/api/events- Event management/api/venues- Venue management/api/songs- Music management/api/users- User operations/api/spotify- Music search/api/maps- Location services
Contributing
- Fork the repository
- Create a feature branch
- Make your changes with proper TypeScript types
- Add tests if applicable
- Submit a pull request
License
MIT License - See LICENSE file for details
Support
For issues and questions:
- Check the troubleshooting section in the code
- Review the MCP protocol documentation
- Ensure your JWT token is valid and not expired
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。