NPR Station Finder MCP Server for AI Agents - n8n Workflow | Neura Market
NPR Station Finder MCP Server for AI Agents
Transforms NPR Station Finder API into an MCP server, enabling AI agents to query stations and metadata effortlessly via 2 endpoints.
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—n
Platform
n8n
Category
Sales
Price
$12.99
Creator
Bryce Yu
n8n
MCP Server
AI Agents
NPR API
Station Finder
Webhook Automation
API Wrapper
Agentic AI
Media Integration
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.