Podcast Commerce Mcp

teamsincetoday/podcast-commerce-mcp

Connects Claude to podcast transcript analysis with five extraction tools: pull product mentions with confidence scores and recommendation strength, identify sponsor segments with read-through estimates, track product trends across episodes, compare mentions across multiple shows, and generate formatted shoppable show notes. Returns structured JSON with speaker attribution, affiliate network signals, and category labels. Runs on OpenAI embeddings with SQLite caching. Free tier gives you 200 calls per day through their hosted endpoint, or run it locally via stdio. Built for podcasters and affiliate marketers who need to turn long-form audio transcripts into monetizable product databases without manual tagging.

tools: 5
auth: Secret needed
transport: STDIO, HTTP
env vars: 2
last updated: Apr 4, 2026

View on GitHub

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

extract_podcast_productsExtract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommendation strength, and sponsor segments. Supports caching by episode_id.4 params

Extract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommendation strength, and sponsor segments. Supports caching by episode_id.

Parameters* required

api_keystring

Optional API key for paid access beyond the free tier

category_filterarray

Optional list of categories to include: physical_goods, saas, course, book, service, affiliate, other

episode_idstring

Optional episode identifier for caching and trend tracking

transcriptstring

Raw transcript text OR a URL to a .txt transcript file

analyze_episode_sponsorsIdentify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-to-action, and aggregate metrics. Uses cached extraction if episode_id was previously processed.3 params

Identify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-to-action, and aggregate metrics. Uses cached extraction if episode_id was previously processed.

Parameters* required

api_keystring

Optional API key for paid access beyond the free tier

episode_idstring

Optional episode identifier — uses cached extraction if available

transcriptstring

Raw transcript text OR a URL to a .txt transcript file

track_product_trendsCompare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been previously extracted (via extract_podcast_products) and cached by episode_id.3 params

Compare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been previously extracted (via extract_podcast_products) and cached by episode_id.

Parameters* required

api_keystring

Optional API key for paid access beyond the free tier

category_filterarray

Optional category filter to narrow trend analysis

episode_idsarray

List of episode IDs to analyze. Each must have been previously extracted via extract_podcast_products.

compare_products_across_showsCompare and rank product mentions across multiple podcast shows using cached extractions — no re-run. Collapses a 3-call manual join into 1 tool call. Performs entity resolution to identify the same product mentioned across shows. Returns ranked cross-show product list with pe...5 params

Compare and rank product mentions across multiple podcast shows using cached extractions — no re-run. Collapses a 3-call manual join into 1 tool call. Performs entity resolution to identify the same product mentioned across shows. Returns ranked cross-show product list with pe...

Parameters* required

api_keystring

Optional API key for paid access beyond the free tier

categorystring

Optional single-category filter: physical_goods, saas, course, service, supplement, media, event, other

min_confidencenumber

Minimum confidence threshold (default 0.85). Lower to include more products.

min_show_countinteger

Minimum number of shows a product must appear in (default 2). Set to 1 for single-show results.

show_idsarray

List of show/episode IDs to compare. Each must have a prior extract_podcast_products cache entry.

generate_show_notes_sectionFormat extracted podcast products into a shoppable show notes section. Returns a ready-to-paste markdown or HTML product list, grouped by endorsement strength (strong/moderate/mention), with affiliate links where resolved. Use after extract_podcast_products — either pass episo...5 params

Format extracted podcast products into a shoppable show notes section. Returns a ready-to-paste markdown or HTML product list, grouped by endorsement strength (strong/moderate/mention), with affiliate links where resolved. Use after extract_podcast_products — either pass episo...

Parameters* required

api_keystring

Optional API key for paid access beyond the free tier

episode_idstring

Episode identifier from a prior extract_podcast_products call — uses cached extraction. Example: 'huberman-lab-ep-123'

formatstring

Output format: markdown (default) or htmlone of markdown · html

productsarray

Raw products array from extract_podcast_products output. Use instead of episode_id when passing data directly.

stylestring

minimal = name + category list; full (default) = grouped by endorsement strength with context quotesone of minimal · full

Configuration

OPENAI_API_KEY*secret

OpenAI API key for GPT-4o-mini product extraction (required)

MCP_API_KEYSsecret

Comma-separated paid API keys for unlimited calls (optional — omit for free tier: 200 calls/day)

Readme

Podcast Commerce Intelligence MCP

Turn podcast transcripts into affiliate revenue. Give any episode transcript to an AI agent — get back every product mentioned, who said it, how strongly they recommended it, and which affiliate network carries it. F1=100% on eval suite. Free tier: 200 calls/day.

⭐ If this saves you time, please star the repo — it helps other developers find it.

Live endpoint: https://podcast-commerce-mcp.sincetoday.workers.dev/mcp · See examples

Extract product mentions, sponsor segments, and product trends from podcast transcripts. Built on x402, the open payment standard backed by Shopify, Google, Microsoft, Visa, and the Linux Foundation.

Tools

View the full README on GitHub

Details

Repository: github.com/teamsincetoday/podcast-commerce-mcp
Categories: Search & Web Crawling, Finance & Commerce, Media & Entertainment
Package: podcast-commerce-mcp
Transport: STDIO, HTTP
Auth: Required
Registry: MCP registry, active

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Podcast Commerce Mcp

Tools

Configuration

Readme

Podcast Commerce Intelligence MCP

Tools

Details

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