1. Conduid
  2. Communication
  3. io.github.teamsincetoday/podcast-commerce-mcp
MCP server · Communication

io.github.teamsincetoday/podcast-commerce-mcp

Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.

Unclaimed comms
37Low

Scored 6 months ago · breakdown

About io.github.teamsincetoday/podcast-commerce-mcp

io.github.teamsincetoday/podcast-commerce-mcp is an MCP server in the Communication category: extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.

Install

Claude Code
claude mcp add io-github-teamsincetoday-podcast-commerce-mcp -- npx -y podcast-commerce-mcp
npx
npx -y podcast-commerce-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

analyze_episode_sponsorsIdentify sponsor segments and estimate read-through rates

Parameters not published.

compare_products_across_showsCross-show product ranking with entity resolution across multiple shows

Parameters not published.

extract_podcast_productsExtract products/brands from a transcript with confidence scores

Parameters not published.

generate_show_notes_sectionFormat extracted products as a shoppable show notes section

Parameters not published.

track_product_trendsCompare product mentions across multiple episodes

Parameters not published.

Ask AI

✦

Ask AI about io.github.teamsincetoday/podcast-commerce-mcp

Powered by Claude · Grounded in docs

I know everything about io.github.teamsincetoday/podcast-commerce-mcp. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Podcast Commerce Intelligence MCP

npm Stars

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_KEYS with 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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.teamsincetoday/podcast-commerce-mcp

How do I install io.github.teamsincetoday/podcast-commerce-mcp?

Run claude mcp add io-github-teamsincetoday-podcast-commerce-mcp -- npx -y podcast-commerce-mcp, then add the server to your MCP client's configuration.

Is io.github.teamsincetoday/podcast-commerce-mcp safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.teamsincetoday/podcast-commerce-mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.