io.github.teamsincetoday/podcast-commerce-mcp
NPM · PODCAST-COMMERCE-MCP · SCANNED AUG 3
Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (131 of 135), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (131 of 135), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 138 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability69
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 687 tokens (~171/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · podcast-commerce-mcp
claude mcp add teamsincetoday-podcast-commerce-mcp -- npx -y podcast-commerce-mcp
codex mcp add teamsincetoday-podcast-commerce-mcp -- npx -y podcast-commerce-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"teamsincetoday-podcast-commerce-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"podcast-commerce-mcp"
],
"enabled": true
}
}
} openclaw mcp add teamsincetoday-podcast-commerce-mcp --command npx --arg -y --arg podcast-commerce-mcp
mcp_servers:
teamsincetoday-podcast-commerce-mcp:
command: "npx"
args: ["-y", "podcast-commerce-mcp"] {
"mcpServers": {
"teamsincetoday-podcast-commerce-mcp": {
"command": "npx",
"args": [
"-y",
"podcast-commerce-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Aug 26 +44
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Security disclosure: unverified → fail ▼ functional
- Schema quality: unverified → excellent ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Licence: MIT functional
- 2 Aug 26 −14
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 1 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Jul 26 −7
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 44
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 131 packages
131 packages in the resolved dependency tree · 131 deprecated · 49 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
analyze_episode_sponsors ~136
Identify and score podcast sponsor segments — host-read ads, mid-roll spots, pre-roll. Returns sponsor name, ad placement type, call-to-action URL, estimated read-through rate, and aggregate sponsor revenue metrics. Use for podcast advertising intelligence, CPM estimation, and sponsor outreach research. Reuses cached extraction when episode_id matches a prior extract_podcast_products call.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | — | Optional API key for paid access beyond the free tier |
| episode_id | string | — | Optional episode identifier — uses cached extraction if available |
| transcript | string | yes | Raw transcript text OR a URL to a .txt transcript file |
No output schema declared.
No examples provided.
compare_products_across_shows ~253
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 per-show context, average confidence, and recommendation consensus. Use for multi-show affiliate research, 'best of' page generation, and cross-show brand ranking. Supports physical_goods, saas, supplement, and all other categories. Requires prior extract_podcast_products calls for each show_id.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | — | Optional API key for paid access beyond the free tier |
| category | string | — | Optional single-category filter: physical_goods, saas, course, service, supplement, media, event, other |
| min_confidence | number | — | Minimum confidence threshold (default 0.85). Lower to include more products. |
| min_show_count | integer | — | Minimum number of shows a product must appear in to be included (default 2). Set to 1 for single-show results. |
| show_ids | array | yes | List of show/episode IDs to compare. Each must have a prior extract_podcast_products cache entry. |
No output schema declared.
No examples provided.
extract_podcast_products ~167
Extract affiliate products, sponsored brands, and product recommendations from a podcast transcript. Returns each product's name, category (physical_goods, saas, course, book, service), confidence score, recommendation strength, and sponsor flag. Use for podcast monetization intelligence, affiliate program discovery, and brand mention tracking. Caches results by episode_id for cross-episode trend analysis.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | — | Optional API key for paid access beyond the free tier |
| category_filter | array | — | Optional list of categories to include: physical_goods, saas, course, book, service, affiliate, other |
| episode_id | string | — | Optional episode identifier for caching and trend tracking |
| transcript | string | yes | Raw transcript text OR a URL to a .txt transcript file |
No output schema declared.
No examples provided.
track_product_trends ~131
Compare 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. Use for podcast affiliate marketing optimization, seasonal product tracking, and sponsor category analysis. Requires prior extract_podcast_products calls for each episode_id.
| Name | Type | Req | Description |
|---|---|---|---|
| api_key | string | — | Optional API key for paid access beyond the free tier |
| category_filter | array | — | Optional category filter to narrow trend analysis |
| episode_ids | array | yes | List of episode IDs to analyze. Each must have been previously extracted via extract_podcast_products. |
No output schema declared.
No examples provided.