Wikipedia Trends

Wikipedia Trends MCP Works with Claude Works with Cursor

Wikipedia page view trend data for AI Wikipedia page views reveal what the world is suddenly curious about. Spike detection, historical page traffic, and cross-platform comparison - giving your AI a unique information-demand signal that precedes mainstream search.

Full docs and live demo: https://trendsmcp.ai/wikipedia-trends

Part of Trends MCP - the MCP server for live trend data across 12+ sources. See the main repo: https://github.com/trendsmcp/trends-mcp

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Get started in 2 steps

Step 1: Get your free API key at trendsmcp.ai 100 requests/day, no credit card required.

Step 2: Add to your AI client (replace YOUR_API_KEY):

+ Add to Cursor (one click)

Cursor / Windsurf / Cline   (~/.cursor/mcp.json or equivalent)

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

VS Code / GitHub Copilot   (.vscode/mcp.json)

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

Claude Desktop   (claude_desktop_config.json) User → Settings → Developer → Edit Config — add inside mcpServers

{
  "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"
      }
    }
  }
}

Claude.ai (browser)   Settings -> Connectors -> Add custom connector:

https://api.trendsmcp.ai/mcp

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Example query

After connecting, ask your AI:

get_trends(keyword='quantum computing', source='wikipedia', data_mode='weekly')

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Available tools

Tool	What it does
get_trends	Time-series for a keyword on this source
get_growth	Growth % over 1W, 1M, 3M, 6M, 1Y periods
get_top_trends	What is trending right now on this source
get_ranked_trends	Top topics ranked by volume

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FAQ

What Wikipedia data does Trends MCP provide?

Wikipedia page view trends - normalized traffic to the Wikipedia article for a given topic over time. This is a strong information-demand signal: when something breaks in the news, Wikipedia views spike before Google Search catches up.

How is Wikipedia data useful as a trend signal?

Wikipedia spikes often lead Google Trends by 24-72 hours for news-driven events. It is a leading indicator of public curiosity - useful for media, research, and investment applications.

Does it track the English Wikipedia only?

Yes, currently English Wikipedia page views are tracked. Multi-language support is on the roadmap.

Can I track a person, company, or event?

Yes. Any topic with a Wikipedia article can be tracked. Company pages, political figures, scientific concepts, and current events all work.

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All data sources

Trends MCP covers 12+ sources in one connection: Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News Sentiment, Web Traffic, App Downloads, Steam, npm, and more.

Browse all: https://trendsmcp.ai/data-sources

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Also works as a Python client

Same API key works directly in Python - no MCP host needed.

pip install wikipedia-trends-mcp

import os
from wikipedia_trends_mcp import TrendsMcpClient, SOURCE

client = TrendsMcpClient(api_key=os.environ["TRENDSMCP_API_KEY"])

series  = client.get_trends(source=SOURCE, keyword="your keyword")
growth  = client.get_growth(source=SOURCE, keyword="your keyword", percent_growth=["1M", "3M", "12M"])
top     = client.get_top_trends(type="Wikipedia", limit=10)

Full Python docs: trendsmcp.ai/docs

License

MIT © Trends MCP