NPR API for AI Agents via MCP in n8n

# MCP server in n8n to connect NPR Listening Service API with AI agents via HTTP

This automation template enables AI agents to interact seamlessly with the NPR Listening Service API through a standardized MCP interface. Instead of handling authentication and response formats manually, agents gain access to 9 pre-built HTTP tools — from recommendations to rating submission. Ideal for product teams and developers building voice assistants, chatbots, and personalized media experiences.

## Who it´s for
- AI agent developers integrating media content
- Product teams adding NPR support to chatbots
- Automators working with audio recommendations and personalization

## What the automation does
- Exposes NPR’s external API as compatible MCP tools for AI agents
- Processes agent requests via mcp_server_request trigger
- Dynamically populates parameters using $fromAI() expressions
- Handles authentication headers without agent involvement
- Preserves original API response structure for easy parsing
- Supports 9 operations: recommendations, search, channels, categories, ratings, etc.

## What´s included
- Ready-to-use n8n workflow with MCP Server
- Trigger and handler logic based on mcp_server_request
- Integrations with NPR Listening Service API and external AI agents
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n account with MCP Server enabled
- Access to NPR Listening Service API (API key)
- Compatible AI agent (e.g., LangChain-based) that supports MCP

## Benefits and outcomes
- Simplifies media API integration with AI, no deep API knowledge required
- Reduces time to connect new agents to NPR
- Centralizes authentication and parameter management
- Enables scaling across multiple agents using one template
- Maintains flexibility by passing raw API responses

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat