io.github.teamsincetoday/podcast-commerce-mcp
Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
podcast-commerce-mcpclaude mcp add podcast-commerce-mcp -e 'OPENAI_API_KEY=<your openai_api_key>' -e 'MCP_API_KEYS=<your mcp_api_keys>' -- npx -y podcast-commerce-mcp@0.1.1
{
"mcpServers": {
"podcast-commerce-mcp": {
"command": "npx",
"args": [
"-y",
"podcast-commerce-mcp@0.1.1"
],
"env": {
"OPENAI_API_KEY": "<your openai_api_key>",
"MCP_API_KEYS": "<your mcp_api_keys>"
}
}
}
}
Environment variables
OPENAI_API_KEYrequired 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)
podcast-commerce-mcpclaude mcp add podcast-commerce-mcp -- npx -y podcast-commerce-mcp@0.1.1
{
"mcpServers": {
"podcast-commerce-mcp": {
"command": "npx",
"args": [
"-y",
"podcast-commerce-mcp@0.1.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
| Tool | Description |
|---|---|
extract_podcast_products | Extract products/brands from a transcript with confidence scores |
analyze_episode_sponsors | Identify sponsor segments and estimate read-through rates |
track_product_trends | Compare product mentions across multiple episodes |
compare_products_across_shows | Cross-show product ranking with entity resolution across multiple shows |
generate_show_notes_section | Format extracted products as a shoppable show notes section |
Quick Start
# Install
npm install podcast-commerce-mcp
# Configure
cp .env.example .env
# Edit .env: set OPENAI_API_KEY
# Run (stdio MCP server)
npx podcast-commerce-mcp
Connect in Claude Code — No Install Required
Add to your claude_desktop_config.json or use /add-mcp in Claude Code. Free tier: 200 calls/day, no API key needed:
{
"mcpServers": {
"podcast-commerce": {
"url": "https://podcast-commerce-mcp.sincetoday.workers.dev/mcp"
}
}
}
MCP Client Config (local/stdio)
{
"mcpServers": {
"podcast-commerce": {
"command": "npx",
"args": ["podcast-commerce-mcp"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}
Tool Reference
extract_podcast_products
{
"transcript": "Raw text or URL to a .txt file",
"episode_id": "optional-cache-key",
"category_filter": ["saas", "physical_goods"],
"api_key": "optional-paid-key"
}
Returns:
{
"episode_id": "...",
"products": [
{
"name": "Notion",
"category": "saas",
"mention_context": "I use Notion every day...",
"speaker": "Host",
"confidence": 0.9,
"recommendation_strength": "strong",
"affiliate_link": null,
"mention_count": 2
}
],
"sponsor_segments": [...],
"_meta": { "processing_time_ms": 1200, "ai_cost_usd": 0.001, "cache_hit": false }
}
analyze_episode_sponsors
{
"transcript": "...",
"episode_id": "optional",
"api_key": "optional"
}
track_product_trends
{
"episode_ids": ["ep1", "ep2", "ep3"],
"category_filter": ["saas"]
}
Requires episodes to be previously extracted and cached. Returns trends[] with brand, trend (rising/stable/falling), avg_recommendation_strength, and top_category.
compare_products_across_shows
{
"show_ids": ["show-a", "show-b"],
"min_show_count": 2,
"min_confidence": 0.85
}
Ranks products by how many shows mention them. Returns products[] with brand, show_count, avg_confidence, recommendation_consensus (unanimous/majority/mixed/rare).
generate_show_notes_section
{
"episode_id": "previously-extracted-id",
"format": "markdown",
"style": "full"
}
Formats cached product data as a shoppable show notes block. Returns a formatted string ready to paste into episode notes.
Example Output
Real extraction from a Huberman Lab episode transcript (live eval: F1=89%, 96/100 score, $0.00046/call, 8100ms):
{
"episode_id": "huberman-ep-312",
"products": [
{
"name": "AG1 (Athletic Greens)",
"brand": "AG1",
"category": "supplement",
"mention_context": "today's episode is brought to you by AG1. I've been taking it every morning for six months",
"confidence": 0.97,
"recommendation_strength": "strong"
},
{
"name": "Oura Ring",
"category": "physical_goods",
"mention_context": "I've been wearing it for sleep tracking for two years. They're not a sponsor, just a genuine rec",
"confidence": 0.95,
"recommendation_strength": "strong"
}
],
"sponsor_segments": [
{
"sponsor_name": "AG1",
"read_type": "host_read",
"estimated_read_through": 0.72,
"call_to_action": "code HUBERMAN for a free year's supply of Vitamin D"
}
]
}
See /examples endpoint for full output with value narrative: https://podcast-commerce-mcp.sincetoday.workers.dev/examples
Pricing
- Free tier: 200 calls/day per agent (no API key required)
- Paid: $0.01/call — set
MCP_API_KEYSwith valid keys
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
OPENAI_API_KEY | Yes | — | OpenAI API key |
AGENT_ID | No | anonymous | Agent identifier for rate limiting |
MCP_API_KEYS | No | — | Comma-separated paid API keys |
CACHE_DIR | No | ./data/cache.db | SQLite cache path |
PAYMENT_ENABLED | No | false | Set true to enforce limits |
Development
npm install
npm run typecheck # Zero type errors
npm test # All tests pass
npm run build # Compile to dist/
License
MIT — Since Today Studio
Frequently asked questions
What is io.github.teamsincetoday/podcast-commerce-mcp?
Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.
How do I install io.github.teamsincetoday/podcast-commerce-mcp?
It runs on your machine. In Claude Code: claude mcp add podcast-commerce-mcp -e 'OPENAI_API_KEY=<your openai_api_key>' -e 'MCP_API_KEYS=<your mcp_api_keys>' -- npx -y podcast-commerce-mcp@0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.teamsincetoday/podcast-commerce-mcp need an API key?
Yes. It expects OPENAI_API_KEY, MCP_API_KEYS, which you set in its configuration.
Is io.github.teamsincetoday/podcast-commerce-mcp open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains io.github.teamsincetoday/podcast-commerce-mcp?
It is published by teamsincetoday. AI.tn lists it but does not maintain or endorse it.
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