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Reddit Trends MCP

Unexplored

Reddit trend data over time, with growth for any topic or brand. Free key at trendsmcp.ai

trendsmcp-ai1 stars0 forksAI & Agents
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Install

mcp_config.json

{
  "mcpServers": {
    "ai-trendsmcp-reddit": {
      "url": "https://reddit.api.trendsmcp.ai/mcp",
      "type": "streamable-http"
    }
  }
}

Documentation

reddit-trends-mcp

Reddit discussion trend data for AI Measure how much Reddit is talking about any topic. Community discussion volume, growing subreddit interest, and historical activity data - all queryable from your AI without hitting Reddit API limits.

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


Get started in 2 steps

Step 1: Get your free API key at trendsmcp.ai 100 requests/month, 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

Example query

After connecting, ask your AI:

get_trends(keyword='electric vehicles', source='reddit', data_mode='weekly')

Available tools

ToolWhat it does
get_trendsTime-series for a keyword on this source
get_growthGrowth % over 1W, 1M, 3M, 6M, 1Y periods
get_top_trendsWhat is trending right now on this source
get_ranked_trendsTop topics ranked by volume

FAQ

What Reddit data does Trends MCP provide?

Reddit discussion volume trends - normalized interest in a topic across the platform over time, including growth rate and historical time series. Not raw post counts, but a normalized demand signal calibrated for trend comparison.

Is this useful for tracking community sentiment around a brand?

For volume signals, yes. Trends MCP shows whether discussion around a brand is growing or shrinking. For sentiment, the News source gives sentiment scores; Reddit gives pure volume context.

Can I track a specific subreddit?

The current signal is platform-wide Reddit discussion volume for a keyword. Subreddit-level filtering is on the roadmap.

How does Reddit trend data complement Google Trends?

Reddit often reflects niche, enthusiast, and early-adopter communities before topics reach mainstream Google Search. Comparing both reveals whether interest is still underground or going mainstream.


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


Also works as a Python client

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

pip install reddit-trends-mcp
import os
from reddit_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="Reddit", limit=10)

Full Python docs: trendsmcp.ai/docs

License

MIT © Trends MCP

Sourced from the repository README.

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