MCP: TikTok Trending Products - Product, Video & Price Feed
Pricing
$5.00 / 1,000 mcp tool calls
MCP: TikTok Trending Products - Product, Video & Price Feed
MCP server for tiktok-trending-products. AI-agent tools: trending_products, discover_products, and trending_in_category - a public TikTok Shop trending feed (product + driving video + price/sales), no seller account or Shop API. x402 and Skyfire ready. For trend sites and affiliates.
Pricing
$5.00 / 1,000 mcp tool calls
Rating
0.0
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Developer
Seibs.co
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
1
Monthly active users
13 days ago
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An MCP server wrapping seibs.co/tiktok-trending-products. It gives AI agents three tools for pulling a public trending-TikTok-Shop-products feed - the product, the video driving it, and its price/sales - with no seller account, no TikTok Shop API, no data-security review.
x402 (USDC on Base) and Skyfire ready: an AI agent can pay per tool call with no pre-provisioned token when MCP monetization is enabled.
Tools
| Tool | What it returns |
|---|---|
trending_products | The full feed for a region + window: each product with rank, category, price + sale price, "X sold", rating, the driving video (creator + URL + embed + views), and a buy link. |
discover_products | Cheap reconnaissance: the trending leaderboard only (rank / product / category / trend), no price or video enrichment. |
trending_in_category | The feed filtered to one category (substring match, e.g. Beauty, Home, Health). |
Usage
This actor speaks the portfolio's MCP-over-actor protocol: a run with mode = list_tools, call_tool, or batch.
Discover the tools (free):
{ "mode": "list_tools" }
Call one tool:
{"mode": "call_tool","tool": "trending_products","args": { "region": "US", "period_days": 7, "max_products": 20 }}
Get what's hot in a category:
{"mode": "call_tool","tool": "trending_in_category","args": { "category": "Beauty", "region": "US" }}
Batch several calls (max 10):
{"mode": "batch","calls": [{ "tool": "trending_products", "args": { "region": "US" } },{ "tool": "trending_in_category", "args": { "category": "Home" } }]}
Every tool returns a uniform envelope: { tool, args, ok, count, items, summary, error }. Tools never throw - an upstream failure becomes ok: false with an error string.
Connect it to an MCP client
This Actor is exposed as a remote MCP tool through Apify's hosted MCP server. Point any MCP-compatible client (Claude Desktop, Cursor, VS Code, or an OpenAI / LangChain / LlamaIndex agent) at Apify's server with this Actor enabled:
{"mcpServers": {"apify": {"url": "https://mcp.apify.com?tools=seibs.co/mcp-tiktok-trending-products","headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }}}}
Get a token (free) from Apify Console -> Settings -> API & Integrations. The Actor then appears as a callable tool. Run mode=list_tools first (free) to fetch every tool's live JSON schema, then call one:
{ "mode": "call_tool", "tool": "trending_products", "args": { } }
Prefer a direct call? Hit the Actor straight through the Apify API / SDK - no MCP client required:
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("seibs.co/mcp-tiktok-trending-products").call(run_input={"mode": "call_tool", "tool": "trending_products", "args": {},})items = client.dataset(run["defaultDatasetId"]).list_items().items
Pricing
Flat $0.005 per MCP tool call, plus the upstream actor's pass-through PPE (trending_product $0.005, enriched_product $0.005) billed to the same run. list_tools is free. A tool call that returns nothing still bills the flat fee for the dispatch; upstream charges only fire on real records.
What it's for
- Trend sites (e.g. a daily-virals feed): let an agent refresh "today's trending products + videos" on demand.
- Affiliates / dropshippers: ask "what's trending in Beauty this week" and get products + the videos driving them + buy links.
- AI pipelines: a clean, typed tool surface over the public TikTok trending-commerce data - no scraping code, no seller credentials.
See the upstream actor for the full feed schema, velocity/price-history (on scheduled runs), and how to power a website from the dataset.