sincetoday-podcast-commerce-mcp
mcpsmitheryExtract product mentions, sponsors, and trends from podcast transcripts. Returns structured data with product names, categories, confidence scores, recommendation strength, and aesthetic tags. Tools: extract_podcast_products, analyze_episode_sponsors, track_product_trends (with avg_recommendation_strength), compare_products_across_shows, generate_show_notes_section. Free tier: 200 calls/day. $0.01/call paid.
By Smithery | 14 findings | Scanned 5/27/2026 | tooltrust-scanner/v0.3.12
Risk Summary
Needs ApprovalSecret Handling plus Dep Visibility raises enough risk that this tool should not be auto-trusted.
Potential impact: Sensitive credentials may be read, logged, or leaked to external systems.
Recommended action: Keep this tool behind manual approval and avoid unattended runs until the risky capabilities are narrowed or removed.
Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.
Security Findings (14)
tool declares exec permission
extract_podcast_productsanalyze_episode_sponsorsFix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.
input parameter "api_key" appears to accept a secret or credential
extract_podcast_productsanalyze_episode_sponsorstrack_product_trendscompare_products_across_showsgenerate_show_notes_sectionFix: Avoid accepting raw credentials as input parameters. Use secret managers (e.g. 1Password CLI, AWS Secrets Manager) and ensure credentials are never logged or stored in agent traces.
tool performs network or execution operations but declares no rate-limit, timeout, or retry configuration
extract_podcast_productsanalyze_episode_sponsorsFix: Declare explicit rate-limit, timeout, and retry configuration for all network and execution tools. Implement exponential back-off and surface resource state to the calling agent.
Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.
extract_podcast_productsanalyze_episode_sponsorstrack_product_trendscompare_products_across_showsgenerate_show_notes_sectionFix: Review and remediate the identified issue.
Scan this tool yourself
Reproduce this audit locally, integrate into CI, or let your agent audit its own tools.
Install once, then scan any MCP server:
$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash$ tooltrust-scanner scan --server "npx -y sincetoday-podcast-commerce-mcp"Adjust the package name if your npm registry name differs from the tool ID. View source
Add badge to your README
Copy this Markdown to show your ToolTrust grade on GitHub.
[](https://github.com/AgentSafe-AI/tooltrust-directory)