NPR Station Finder MCP Server for AI Agents

This n8n workflow creates a complete MCP (Model Context Protocol) server that exposes the NPR Station Finder Service API's key operations to AI agents. It handles GET requests for /v3/stations (listing stations) and /v3/stations/{stationId} (retrieving specific station metadata) through a single webhook endpoint. AI agents can interact naturally, with parameters auto-populated using $fromAI() expressions, and responses returned in native NPR API format.

Benefits include simplified integration—no custom coding needed for AI tools like Claude Desktop, Cursor, or custom apps. Built-in error handling ensures reliability, while n8n's HTTP nodes manage API calls to https://station.api.npr.org securely with credentials. This saves hours of development time for agentic AI setups.

Use cases: Power media apps to find local NPR stations by location or ID; enhance AI assistants for public radio info; integrate into sales tools for region-specific content (e.g., commission tracking in media sales by station reach); or build chatbots that recommend stations. Quick setup: import, add credentials, activate, and connect.