Reddit Trends Mcp

reddit-trends-mcp

[](https://trendsmcp.ai/reddit-trends) [](https://modelcontextprotocol.io) [](https://trendsmcp.ai/mcp-server-for-claude) [](https://trendsmcp.ai/mcp-server-for-cursor)

> 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

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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://anysphere.cursor-deeplink/mcp/install?name=trends-mcp&config=eyJ1cmwiOiAiaHR0cHM6Ly9hcGkudHJlbmRzbWNwLmFpL21jcCIsICJ0cmFuc3BvcnQiOiAiaHR0cCJ9)

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='electric vehicles', source='reddit', 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 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.

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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 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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: trendsmcp
• Source: trendsmcp/reddit-trends-mcp
• License: MIT
• Homepage: https://trendsmcp.ai

Install and usage instructions live in the source repository linked above.