Complete MCP server exposing 2 NPR Station Finder Service API operations to AI agents.
⚡ Quick Setup
- Import this workflow into your n8n instance
- Credentials Add NPR Station Finder Service credentials
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
🔧 How it Works
This workflow converts the NPR Station Finder Service API into an MCP-compatible interface for AI agents.
• MCP Trigger: Serves as your server endpoint for AI agent requests
• HTTP Request Nodes: Handle API calls to https://station.api.npr.org
• AI Expressions: Automatically populate parameters via $fromAI() placeholders
• Native Integration: Returns responses directly to the AI agent
📋 Available Operations (2 total)
🔧 V3 (2 endpoints)
• GET /v3/stations: Get Station 1
• GET /v3/stations/{stationId}: Retrieve metadata for the station with the given numeric ID
🤖 AI Integration
Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication
Response Format: Native NPR Station Finder Service API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
💡 Usage Examples
Connect this MCP server to any AI agent or workflow:
• Claude Desktop: Add MCP server URL to configuration
• Cursor: Add MCP server SSE URL to configuration
• Custom AI Apps: Use MCP URL as tool endpoint
• API Integration: Direct HTTP calls to MCP endpoints
✨ Benefits
• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI() expressions for all parameters
• Production Ready: Native n8n HTTP request handling and logging
• Extensible: Easily modify or add custom logic
🆓 Free for community use! Ready to deploy in under 2 minutes.