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TikTok Trends MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/5/2026, 12:01:12 AM

TikTok Trends MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
tiktoktrendssocial-mediaanalyticsmcp

Query TikTok trend history, growth, and live ranked feeds through MCP using one TrendsMCP API key.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below โ€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tiktok-trends-mcp": {
      "url": "https://api.trendsmcp.ai/mcp",
      "env": {
        "TRENDSMCP_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing Alternatives๐ŸŒ More in Social Media

Overview

TikTok Trends MCP MCP server exposes trend data through three MCP tools: historical time series, percentage growth, and live ranked feeds. It connects to the hosted endpoint at `https://api.trendsmcp.ai/mcp`, with a repository-provided stdio adapter for local hosts. Use it when an agent needs TikTok hashtag history or current rankings, or when comparing trend movement across supported sources. Requests require a TrendsMCP API key, except for tool discovery through the local stdio process.

Use cases

โ€ขCompare hashtag growth across selected sources
โ€ขRetrieve weekly or daily history for a TikTok keyword
โ€ขCheck live ranked TikTok feeds
โ€ขMeasure trend movement across multiple time windows

Key features

โ€ขHistorical weekly or daily time series
โ€ขPoint-to-point percentage growth
โ€ขLive ranked trend feeds
โ€ขCross-source growth requests
โ€ขHosted HTTP and local stdio access
โ€ขOptional pagination and rank-change sorting

Capabilities & Tool Schemas (3) ~129 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by TikTok Trends MCP.

get_time_series

Weekly (or daily) history for **one** `source` + `keyword`. Same name on MCP and REST (`mode: "get_time_series"`). REST also accepts `get_trends` as an alias.

get_growth

Point-to-point percent change. Several windows in one call still count as **one** request for that source + keyword.

get_top_trends

Live ranked list. **No keyword.** On MCP, `type` is required and must match the feed name **exactly** (including capitals). On REST, omit `type` only if you intend to pull every feed (billed per feed).

How TikTok Trends MCP works

What TikTok Trends MCP MCP server does

TikTok Trends MCP MCP server gives MCP-compatible agents access to trend data through three tools. get_time_series returns weekly or daily history for one keyword on one source. get_growth calculates point-to-point percentage change for selected time windows. get_top_trends returns a live ranked feed and does not accept a keyword.

The service is not limited to TikTok in the supplied configuration. The README describes support for Google, TikTok, YouTube, Amazon, Reddit, and other sources, with source-specific keyword formats. For TikTok-focused work, the tools can retrieve hashtag history, calculate growth, and inspect live TikTok feeds where the requested feed type is available.

How it works

The hosted MCP endpoint is https://api.trendsmcp.ai/mcp. Calls use a TrendsMCP API key as a Bearer token. The same key is used for the REST endpoint at https://api.trendsmcp.ai/api, although REST supports some different parameter behavior. The repository also includes a stdio adapter that can run locally and forward paid calls with TRENDSMCP_API_KEY.

get_time_series requires both keyword and source, and handles one source per call. Its index uses a 0โ€“100 scale where the data pipeline supports one; a value of 100 represents the peak in the returned period. An absolute volume field is included when the source provides one.

get_growth also requires a keyword and source. It accepts one source or a comma-separated list, and multiple periods in one call count as one request for that source and keyword. Supported presets include 7D, 30D, 6M, 12M, 1Y, 2Y, and 5Y, alongside month-to-date, quarter-to-date, year-to-date, and custom date objects.

Setup and configuration

Create a free API key through the TrendsMCP account page before making data requests. For remote clients, configure the MCP URL and send Authorization: Bearer YOUR_API_KEY. Claude.ai uses the custom connector path with OAuth instead of a Bearer key. Claude Desktop does not use native HTTP in the documented setup; it connects through mcp-remote.

For local stdio usage, install the repository package and run python -m trends_mcp_server. Put the key in the TRENDSMCP_API_KEY environment variable in the client configuration. The stdio process can list tools without a key, but paid data calls still use the account quota.

Documented client configurations include Claude, Cursor, ChatGPT, VS Code, Claude Code, Windsurf, Cline, and Claude Desktop. Cline requires the transport value streamableHttp; Windsurf uses serverUrl rather than Cursor's url and transport fields.

Tools and capabilities

The TikTok Trends MCP MCP server provides:

  • get_time_series for weekly or daily keyword history.
  • get_growth for point-to-point percentage comparisons.
  • get_top_trends for current ranked feeds, with optional pagination, category, and sorting controls.

For get_top_trends, MCP calls require type, and its value must exactly match the feed name, including capitalization. The default limit is 25 and the maximum is 200. rank_change sorting supports windows from one to thirty days. REST can omit type to request every feed, but billing applies per feed.

Limitations and notes

Each historical or growth request targets one source unless get_growth receives a comma-separated source list. get_time_series accepts data_mode only through REST; MCP uses the tool's supported history behavior. Feed names and keyword formats depend on the source catalog, so callers should use the current parameter documentation when constructing requests. The README lists a free allowance of 100 requests per month.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about TikTok Trends MCP

TikTok Trends MCP is an MCP server that connects AI agents to the TrendsMCP trend-data service. Its main tools are get_time_series for keyword history, get_growth for percentage changes, and get_top_trends for live ranked feeds. It can access TikTok and other listed sources through a hosted MCP endpoint or local stdio adapter.

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Technical Specs & Signals

Category๐ŸŒSocial Media
More technical detailsExpand โ–พ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot)
Last updatedOct 6, 2026
11/14 checks healthy over the last 59d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 30, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8/19/2026 via OSV.dev ยท https://api.trendsmcp.ai/mcp (npm)

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