Trends MCP

Trends MCP

Live trend data for your AI. 25+ platforms. One connection.

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访问服务器

README

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<img src="https://www.trendsmcp.ai/static/pages/trendsmcp/assets/trend.svg" width="72" alt="Trends MCP logo">

Trends MCP

Live trend data for your AI. 25+ platforms. One connection.

Google Search · YouTube · TikTok · Reddit · Amazon · Wikipedia · X · News sentiment · App Store · npm · Steam · GitHub · Spotify · and more

MCP License: MIT Smithery API calls served Free tier GitHub stars

Get a free API key →  ·  Docs  ·  Data Sources  ·  Use Cases

<img width="1841" alt="Trends MCP — live trend data across 25+ platforms" src="https://github.com/user-attachments/assets/e50e3025-cbdf-4f08-b0df-c1219e237f31" />

<!-- UPGRADE: replace the static screenshot above with a <20s demo GIF (convert the R2 .mov of Claude calling TrendsMCP). Animated hero > static hero for conversion. -->

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Why this exists

Your AI has a training cutoff. The world doesn't.

You: "Using TrendsMCP, compare 6-month growth for 'GLP-1' across Google, TikTok and Amazon."

Claude: GLP-1 momentum, last 6 months:
  Google Search  +84%  (accelerating)
  TikTok         +212% (breakout)
  Amazon         +61%  (steady)

One MCP endpoint replaces per-platform API keys, brittle scrapers (looking at you, pytrends), and $500/mo dashboard tools. Everything comes back as normalized 0–100 JSON your AI can reason over directly — ~5 years of weekly history per keyword.

Problem Trends MCP solution
AI has a training cutoff — it doesn't know what's trending today Live data from 25+ sources, queried at request time
Separate keys and APIs for TikTok, Reddit, YouTube, Amazon… One MCP endpoint, one key, consistent schema
pytrends scrapes Google and breaks constantly Managed pipeline with retries, no scraping
Trend data comes back as charts you read manually Structured JSON your AI reasons over directly
Expensive enterprise dashboards just for trend signals Free tier, no dashboard, no per-seat pricing

<img width="400" alt="Trends MCP in action" src="https://github.com/user-attachments/assets/6ff0e7ae-7f2d-460f-9a1c-5fd542d7fb77" />

Quickstart (30 seconds)

1. Grab a free API key at trendsmcp.ai — 100 requests/mo, no credit card.

2. One-click install:

<img src="https://cdn.simpleicons.org/claude/DA7756" width="14"> Add to Claude  ·  Add to Cursor  ·  Smithery

Or paste the config:

<details open> <summary><b>Cursor / Windsurf</b> - <code>~/.cursor/mcp.json</code></summary>

{
  "mcpServers": {
    "trends-mcp": {
      "url": "https://api.trendsmcp.ai/mcp",
      "transport": "http",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

</details>

<details> <summary><b>Cline</b> - see <code>llms-install.md</code> (requires <code>streamableHttp</code>)</summary>

{
  "mcpServers": {
    "trends-mcp": {
      "type": "streamableHttp",
      "url": "https://api.trendsmcp.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" },
      "disabled": false
    }
  }
}

</details>

<details> <summary><b>VS Code / GitHub Copilot</b> — <code>.vscode/mcp.json</code></summary>

{
  "servers": {
    "trends-mcp": {
      "type": "http",
      "url": "https://api.trendsmcp.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

</details>

<details> <summary><b>Claude Desktop</b> — <code>claude_desktop_config.json</code></summary>

{
  "mcpServers": {
    "trends-mcp": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote",
        "https://api.trendsmcp.ai/mcp",
        "--header", "Authorization:${AUTH_HEADER}"
      ],
      "env": { "AUTH_HEADER": "Bearer YOUR_API_KEY" }
    }
  }
}

</details>

<details> <summary><b>Claude.ai (browser)</b> — Settings → Connectors → Add custom connector</summary>

https://www.trendsmcp.ai/mcp

</details>

3. Ask your AI:

Using TrendsMCP, what's trending on Google right now?

The three tools

Tool What it does Example
get_trends ~5 years of weekly history for a keyword, normalized 0–100 get_trends(keyword='electric vehicles', source='google search', data_mode='weekly')
get_growth % change over 7D–5Y, multi-source in one call get_growth(keyword='vibe coding', source='google search, tiktok, youtube', percent_growth=['3M','1Y'])
get_top_trends Live leaderboards — no keyword needed get_top_trends(type='TikTok Trending Hashtags', limit=20)

Keyword sources (get_trends / get_growth): google search, google images, google news, google shopping, youtube, tiktok, reddit, amazon, wikipedia, news volume, news sentiment, app downloads, app rankings, npm, steam

Live feeds (get_top_trends): Google Trends, Google News, TikTok Hashtags, YouTube, X (Twitter), Reddit Hot / World News, Wikipedia, Amazon Best Sellers, App Store Free/Paid, Google Play, Top Websites, Spotify Podcasts, Steam Most Played, GitHub Trending Repos, IMDb, Open Library → full reference

Prompts that work

Is consumer interest in 'creatine gummies' growing or dying? Check Google, TikTok and Amazon.
Which npm packages in the MCP ecosystem are growing fastest right now?
Show news sentiment for 'Meta' over the past 6 months — is coverage turning positive?
Pull 5-year Google trend data for 'protein soda' and tell me if this is a fad or a durable shift.
What's on GitHub Trending today, and which repos relate to AI agents?

More recipes in examples/ — market research, SEO, e-commerce demand validation, investor signal scans, content calendars.

REST API (same key)

import requests

r = requests.post(
    "https://api.trendsmcp.ai/api",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"mode": "get_growth", "source": "google search",
          "keyword": "bitcoin", "percent_growth": ["3M", "12M"]},
)
print(r.json())

Full API reference: trendsmcp.ai/docs · Errors are JSON with error + message; hitting your monthly cap returns 429 rate_limited — no surprise overages.

vs. the alternatives

Trends MCP pytrends Platform APIs Exploding Topics / Glimpse
Live data in your AI via MCP ✅ ❌ ❌ ❌
Sources per key 25+ 1 (scraped) 1 each dashboard only
Breaks when Google changes HTML No Constantly — —
Cross-platform normalized index ✅ 0–100 ❌ ❌ partial
Historical depth ~5y weekly varies varies paid tiers
Free tier 100 req/mo free until blocked varies trial
Setup time 30 sec pip + pray days of OAuth n/a

FAQ

<details><summary><b>Is the data normalized?</b></summary> Yes — 0–100 index where the pipeline supports it, so search, social and commerce signals are directly comparable in one query. Proprietary estimates, not official platform figures.</details>

<details><summary><b>Which clients work?</b></summary> Claude (Desktop, claude.ai, Code), Cursor, Windsurf, VS Code, GitHub Copilot, Cline, ChatGPT, Raycast, LangChain — anything MCP-compatible. <a href="https://trendsmcp.ai/docs">Per-client guides</a>.</details>

<details><summary><b>What does it cost?</b></summary> Free forever: 100 req/mo. Starter $19/mo (1,000), Pro $49/mo (5,000), Business $199/mo (25,000). Annual −20%. <a href="https://trendsmcp.ai/pricing">Pricing</a>.</details>

<details><summary><b>Do I need per-platform API keys?</b></summary> No. One Trends MCP key covers all sources — upstream access is handled for you. No scraping on your side.</details>

<details><summary><b>Setup guides per client</b></summary>

Claude · Cursor · VS Code · Windsurf · Copilot · Cline · ChatGPT · Raycast · OpenAI </details>

<details><summary><b>Data source deep-dives</b></summary>

Google Trends · YouTube · TikTok · Reddit · Amazon · Wikipedia · News sentiment · Web traffic · App downloads · Steam · npm · X/Twitter · GitHub · Spotify · Google Shopping · Google News · Google Images </details>

<details><summary><b>Use cases & alternatives</b></summary>

Market research · Investment research · Competitor tracking · Brand monitoring · SEO keyword research · Content strategy · Social listening · E-commerce product research · Viral trend detection · pytrends alternative · Exploding Topics alternative · Glimpse alternative · Semrush alternative · SimilarWeb alternative </details>

Ecosystem


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If Trends MCP saves you from writing another scraper, give it a ⭐ — it genuinely helps.

Get your free API key →

MIT © Trends MCP

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