// MCP TOOL REFERENCE

PODCAST COMMERCE INTELLIGENCE TOOLS

5 tools from the Podcast Commerce Intelligence MCP Server, categorised by risk level.

View the Podcast Commerce Intelligence policy →

READ TOOLS

analyze_episode_sponsors Identify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-t... 2/5 extract_podcast_products Extract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommend... 2/5 track_product_trends Compare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been pr...

WRITE TOOLS

generate_show_notes_section Format extracted podcast products into a shoppable show notes section. Returns a ready-to-paste markdown or HTML product list, grouped by endorseme... 3/5

EXECUTE TOOLS

compare_products_across_shows Compare and rank product mentions across multiple podcast shows using cached extractions — no re-run. Collapses a 3-call manual join into 1 tool ca... 4/5

// FAQ

How many tools does the Podcast Commerce Intelligence MCP server have? +

The Podcast Commerce Intelligence MCP server exposes 5 tools across 3 categories: Read, Write, Execute.

How do I enforce policies on Podcast Commerce Intelligence tools? +

Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Podcast Commerce Intelligence server.

What risk categories do Podcast Commerce Intelligence tools fall into? +

Podcast Commerce Intelligence tools are categorised as Read (3), Write (1), Execute (1). Each category has a recommended default policy.

Enforce policies on Podcast Commerce Intelligence

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept

github.com/policylayer/intercept →