Podcast Commerce MCP
Extract product mentions from podcast transcripts with affiliate signals.
Connector by teamsincetoday · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/teamsincetoday-podcast-commerce-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 5 read · 0 write · 0 deleteRead-only
- Secrets
- 2 (API keys, tokens or passwords)
- Install scripts
- Not scanned yet
- Runs as
- Node.js package
Tools by what they do 5
Read from the source code; the running server may list different tools.
Read 5 · Look things up without changing anything.
analyze_episode_sponsorscompare_products_across_showsextract_podcast_productsgenerate_show_notes_sectiontrack_product_trends
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
MCP_API_KEYSOPENAI_API_KEY
Tools (5)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
analyze_episode_sponsorsIdentify and score podcast sponsor segments (host-read ads, mid-roll, pre-roll). Returns sponsor name, ad placement type, call-to-action URL, estimated read-through rate, and revenue metrics based on category benchmarks — not live ad-platform data. Use for advertising intelligence, CPM estimation, and sponsor outreach research. Use this tool when you need sponsor metrics only; for the full product and recommendation list use extract_podcast_products instead. Reuses cached extraction when episode_id matches a prior extract_podcast_products call. Example: episode_id='huberman-ep-301' → returns […
compare_products_across_showsCompare and rank product mentions across multiple podcast shows using cached extractions — no re-run or extra AI cost. Collapses a 3-call manual join into 1 tool call with entity resolution to match the same product across different show mentions. Returns ranked products with per-show context, average confidence, recommendation consensus, and brand aggregation. Use for multi-show affiliate research, 'best of' page generation, and cross-show brand ranking. Requires prior extract_podcast_products call for each show_id — returns error listing missing IDs if any are absent. Example: show_ids=['epi…
extract_podcast_productsExtract affiliate products, sponsored brands, and host recommendations from a podcast transcript (text input only — does not process audio or video). Returns product name, category, confidence score, recommendation strength, and sponsor flag. Call this before analyze_episode_sponsors or track_product_trends — both tools reuse its cache. Use for podcast monetization, affiliate program discovery, and episode-to-episode trend tracking. Returns empty products array (not an error) when no product mentions are found. Example: episode_id='huberman-ep-301', category_filter=['physical_goods','supplemen…
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 episode_id to use cached extraction, or pass products[] directly. Handles null affiliate_link gracefully (shows product name without link). Format: markdown (default) produces copy-paste text for show notes editors; html produces embeddable markup. Style: full (default) groups by endorsement with context quotes; minimal produc…
track_product_trendsCompare affiliate product and brand mention frequency across multiple podcast episodes to detect rising, stable, and declining trends. Returns trend velocity, mention count per episode, and category breakdown. No AI call — computed from cached extraction data only. Use for affiliate marketing optimization, seasonal product tracking, and content calendar planning. Requires prior extract_podcast_products call for each episode_id — returns an error listing missing IDs if any are not in cache. Example: episode_ids=['ep-301','ep-302','ep-303'].
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Apr 8, 2026 (6 months ago)
- Last release
- Apr 4, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.teamsincetoday/podcast-commerce-mcp- Version
- 0.1.3
- Auth
- API key
- Packages
- npm podcast-commerce-mcpnpm podcast-commerce-mcp
- License
- License unknown
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Podcast Commerce MCP. Agent Mart. https://agentmart.dev/connectors/teamsincetoday-podcast-commerce-mcp (last updated 2026-10-24)