SR P3 MCP Server
An MCP server providing access to Sveriges Radio's P3 channel music playlists, including real-time tracks and historical data. It enables AI assistants to fetch current songs and search the last 90 days of playlist history by date or artist.
README
SR P3 MCP Server
A Model Context Protocol (MCP) server that provides access to Sveriges Radio's P3 channel music playlists. This server enables AI assistants to fetch current and historical playlist data from P3, Sweden's popular music radio station.
Features
- Real-time Current Playlist: Get the currently playing song, previous song, and next song on P3
- Historical Playlist Search: Search P3's playlist history by date or date range (last 90 days)
- Artist Filtering: Filter historical results by artist name
- Rate Limiting: Built-in rate limiting (10 requests/minute) to respect SR's infrastructure
- Input Validation: Robust input validation using Zod schemas
- Error Handling: User-friendly error messages with graceful degradation
Installation
Prerequisites
- Node.js 18 or higher
- npm or yarn
Setup
- Clone this repository:
git clone https://github.com/tomellen/mcpsrtest.git
cd mcpsrtest
- Install dependencies:
npm install
- Build the TypeScript code:
npm run build
Usage
Configuring with Claude Desktop
To use this server with Claude Desktop, you need to add it to your Claude Desktop configuration:
-
Build the server (see Installation above)
-
Find your Claude Desktop config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
- macOS:
-
Add the server to your config:
{
"mcpServers": {
"sr-p3": {
"command": "node",
"args": [
"/absolute/path/to/mcpsrtest/dist/server.js"
]
}
}
}
- Restart Claude Desktop
See CONFIGURATION.md for detailed setup instructions, including platform-specific examples.
Running Locally
Start the server:
npm start
The server runs on stdio transport, suitable for local deployment (including Raspberry Pi).
Development Mode
For development with auto-rebuild:
npm run watch
In another terminal:
npm run dev
MCP Tools
1. get_p3_current_playlist
Fetch the currently playing song on SR P3.
Parameters: None
Returns:
- Current song with artist, title, album, timestamps
- Previous song
- Next song
Example Response:
{
"songs": [
{
"title": "Song Title",
"artist": "Artist Name",
"albumName": "Album Name",
"startTimeUTC": "2024-12-15T10:30:00Z",
"stopTimeUTC": "2024-12-15T10:33:45Z",
"duration": 225
}
],
"metadata": {
"channel": "P3",
"channelId": 164,
"timestamp": "2024-12-15T10:32:00Z",
"query": {
"type": "current"
}
}
}
2. search_p3_playlist_by_date
Search P3 playlist history for a specific date or date range.
Parameters:
date(required): ISO 8601 date string or date range- Single date:
"2024-12-15" - Date range:
"2024-12-01 to 2024-12-31"
- Single date:
artist_filter(optional): Filter by artist name (case-insensitive)limit(optional): Max songs to return (default: 25, max: 100)
Validation:
- Date must be within last 90 days
- Future dates are rejected
- Date format must be ISO 8601
Example Request:
{
"date": "2024-12-15",
"artist_filter": "Taylor Swift",
"limit": 10
}
Example Response:
{
"songs": [
{
"id": "song-0",
"title": "Anti-Hero",
"artist": "Taylor Swift",
"albumName": "Midnights",
"startTimeUTC": "2024-12-15T08:15:00Z",
"stopTimeUTC": "2024-12-15T08:18:30Z",
"duration": 210
}
],
"metadata": {
"channel": "P3",
"channelId": 164,
"timestamp": "2024-12-15T10:00:00Z",
"query": {
"type": "date-range",
"startDate": "2024-12-15T00:00:00Z",
"endDate": "2024-12-15T23:59:59Z",
"artistFilter": "Taylor Swift",
"limit": 10
}
}
}
Technical Details
P3 Channel ID
The P3 channel ID is hardcoded as 164 in the server. This is Sveriges Radio's official channel identifier for P3.
API Integration
This server uses Sveriges Radio's Open API:
- Base URL:
https://api.sr.se/api/v2/playlists/ - No authentication required
- All requests are read-only
- Responses are in JSON format
Rate Limiting
The server implements rate limiting to respect SR's infrastructure:
- Maximum 10 requests per minute
- Tracked per server instance
- Returns helpful error messages when limit is exceeded
Error Handling
All errors are converted to user-friendly messages:
- Network timeouts: "Request timed out. Please try again."
- API unavailable: "Service may be temporarily unavailable."
- Invalid dates: Clear explanation of valid date range
- Rate limit: "Please wait X seconds before trying again."
Security
- All user inputs validated with Zod schemas
- No API keys or secrets required
- Date inputs sanitized and validated
- No raw API URLs exposed in errors
- Request logging to stderr (not stdout)
Project Structure
SRMCP/
├── src/
│ ├── server.ts # Main MCP server
│ ├── api-client.ts # SR API client with rate limiting
│ ├── types.ts # TypeScript interfaces
│ └── tools/
│ ├── current-playlist.ts # get_p3_current_playlist tool
│ └── search-playlist.ts # search_p3_playlist_by_date tool
├── dist/ # Compiled JavaScript (generated)
├── package.json
├── tsconfig.json
└── README.md
Development
Building
npm run build
Type Checking
TypeScript is configured with strict mode enabled. All code is fully typed.
Logging
Server logs are written to stderr (not stdout, which is reserved for MCP protocol). This allows for debugging without interfering with the MCP communication.
Deployment
Raspberry Pi
This server is designed for Raspberry Pi deployment:
- Ensure Node.js 18+ is installed
- Clone and build the project
- Run with
npm start - Configure your MCP client to connect via stdio
Docker (Optional)
A Dockerfile can be added for containerized deployment if needed.
Testing
Basic functionality test:
npm test
This runs the server and verifies it starts without errors.
API Reference
For more information about Sveriges Radio's Open API:
License
MIT
Contributing
Contributions are welcome! Please ensure:
- All inputs are validated
- Error messages are user-friendly
- Code follows TypeScript best practices
- Tests pass before submitting PRs
Support
For issues or questions:
- GitHub Issues: github.com/tomellen/mcpsrtest/issues
Acknowledgments
Built with:
- @modelcontextprotocol/sdk - MCP SDK
- Zod - Input validation
- Axios - HTTP client
- fast-xml-parser - XML parsing
Data provided by Sveriges Radio's Open API.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.