io.github.teamsincetoday/podcast-commerce-mcp
NPM · PODCAST-COMMERCE-MCP · SCANNED SEP 20
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 52 of 132 dependencies flagged as unhealthy (1 deprecated). 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 186 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- 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 Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.teamsincetoday/podcast-commerce-mcp server?
io.github.teamsincetoday/podcast-commerce-mcp runs locally as an npm package, launched with npx -y podcast-commerce-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · podcast-commerce-mcp
claude mcp add teamsincetoday-podcast-commerce-mcp -- npx -y podcast-commerce-mcp
{
"mcpServers": {
"teamsincetoday-podcast-commerce-mcp": {
"command": "npx",
"args": [
"-y",
"podcast-commerce-mcp"
]
}
}
} {
"servers": {
"teamsincetoday-podcast-commerce-mcp": {
"command": "npx",
"args": [
"-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": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"podcast-commerce-mcp"
]
}
}
} assistant mcp add teamsincetoday-podcast-commerce-mcp -t stdio -c npx -a -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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 0
- Stability: 0.97 → pass security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 −3
- Stability: pass → 0.80 functional
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 20 Sept 2026 · Analysed npm/podcast-commerce-mcp@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 132 packages
| Packages resolved | 132 |
|---|---|
| Deprecated | 1 |
| Stale | 51 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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.
What is the io.github.teamsincetoday/podcast-commerce-mcp server?
io.github.teamsincetoday/podcast-commerce-mcp is listed in the public MCP registry as io.github.teamsincetoday/podcast-commerce-mcp. Extract product mentions from podcast transcripts with affiliate signals. Free tier 200/day. This page covers its npm package (podcast-commerce-mcp).
Is the io.github.teamsincetoday/podcast-commerce-mcp server safe to use?
io.github.teamsincetoday/podcast-commerce-mcp scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.teamsincetoday/podcast-commerce-mcp server expose?
io.github.teamsincetoday/podcast-commerce-mcp exposes 4 tools: extract_podcast_products, analyze_episode_sponsors, track_product_trends, compare_products_across_shows. Their descriptions and schemas cost roughly 687 tokens of context every time the server is loaded.
Is the io.github.teamsincetoday/podcast-commerce-mcp server still maintained?
io.github.teamsincetoday/podcast-commerce-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.teamsincetoday/podcast-commerce-mcp server under?
io.github.teamsincetoday/podcast-commerce-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.