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
- Kaito Rahman
- 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.
Related Sales workflows
- Automate B2B Lead Generation from Company Websites Using Brightdata and OpenRouter AI$14.99
- Automate Cold Calling Pipeline with Apify, OpenAI, and WhatsApp$19.99
- Automate Lead Generation and Enrichment Using Google My Business and Supabase$13.57
- Automate Sales Outreach with OpenAI, Airtable & Google Sheets for Prospect Research$9.99
- AI-Powered Lead Research & Personalized Email Generation with Groq & Google Sheets$14.99
- Automate Spare Parts Quotation with Gmail, Google Sheets, and Gemini AI$14.99
More from Kaito Rahman
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.