This n8n workflow acts as a middleware API gateway for NPR Sponsorship services, enabling AI-driven interactions with the NPR VAST Sponsorship API. It sets up a webhook trigger that listens for requests from AI agents and forwards these requests to the NPR Sponsorship API endpoints. The workflow supports two main operations: fetching sponsorship data (VAST Sponsorships) and tracking sponsorship data, facilitating efficient ad campaign management.

The process begins with the ‘NPR Sponsorship Service MCP Server’ node, a webhook trigger that captures incoming requests from AI agents. The workflow includes detailed instructions on setup, including importing the workflow, configuring OAuth2 credentials, and connecting the webhook URL to an AI agent.

Once triggered, the ‘Fetch VAST Sponsorships’ node performs an HTTP GET request to the `’https://sponsorship.api.npr.org/v2/ads’` endpoint, passing optional query parameters like `’forceResult’` and `’adCount’`, which can be dynamically filled using `$fromAI()` expressions for flexibility. This retrieves sponsorship units, which can be used for ad placements.

The ‘Track VAST Sponsorship Data’ node sends a POST request to the same API endpoint, recording tracking data for specified sponsorship units. This helps monitor ad performance and sponsorship effectiveness.

Throughout the workflow, sticky notes provide setup and operational guidance, making it user-friendly.

This workflow is particularly useful for organizations seeking to automate NPR sponsorship data retrieval and tracking, integrating these processes seamlessly with AI agents to optimize sponsorship management and reporting in digital campaigns.