Search, Manage & Analyze Podcasts with Listen API for AI Agents
Exposes 23 Listen API operations via MCP server, enabling AI agents to search, manage, and analyze podcasts effortlessly.
This n8n workflow transforms the Listen API (Podcast Search, Directory, and Insights) into a fully functional MCP-compatible server with 23 endpoints. It serves as an endpoint for AI agents, handling operations like fetching best podcasts, curated lists, episode details, recommendations, genres, and more through HTTP requests to https://listen-api.listennotes.com/api/v2. AI expressions with $fromAI() placeholders automatically populate parameters from agent inputs, ensuring seamless integration and direct response delivery.
Key benefits include rapid setup for AI-driven podcast research, no need for custom coding, and native support for advanced features like episode recommendations and metadata extraction. It saves hours of development time by providing a ready-to-use server that scales with AI agent demands.
Ideal use cases: AI assistants for content creators discovering trending podcasts, market analysts tracking genre insights, sales teams researching industry podcasts for leads, or automated tools for podcast recommendation engines. Perfect for data extraction in AI workflows, enhancing automation in media and sales intelligence.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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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.
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