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Automate affiliate product research, seller audits, review mining, and video planning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "affiliate-marketplace-mcp" yet — see the docs or source repo.
Search Shopee and TikTok Shop for high-potential products suitable for the baby and parenting audience, then summarize product titles, prices, commission information, and brief recommendation reasons for each platform.
A shortlist of candidate products with cross-platform search results and basic recommendation rationale.
Audit the sellers behind these candidate products, then mine user reviews for common strengths, complaint points, and potential risks, and organize the findings into a filterable table.
Seller audit results and review insights that help quickly eliminate risky products.
Using approved products and review-derived selling points, generate a short-form video storyboard and output structured content suitable for a VideoFactory project.
A video storyboard plus project-ready content for the next video production step.
When marketing teams need promotable products on Shopee and TikTok Shop, they can use it to unify search, information extraction, and initial screening while reducing manual comparison work.
Before launching affiliate content, teams can audit sellers and mine reviews for reputation signals and risk points to avoid low-converting or controversial products.
Content teams can turn product and review insights directly into video storyboards and VideoFactory project content, making the path from research to creative output smoother.
It automates the affiliate e-commerce workflow across Shopee and TikTok Shop, including product hunting, seller auditing, review mining, and generating video storyboards and VideoFactory projects.
The description says it provides nine MCP tools covering search, intelligence extraction, database queries, and system health checks. For exact parameters and output formats, see the source repository.
The provided material does not specify installation steps, runtime requirements, or required keys. Please see the source repository for prerequisites.
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