reddit-trends-mcp
Provides Reddit discussion volume trends, growth rates, and top trending topics for any keyword, accessible via MCP tools and Python client.
README
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/day, no credit card required.
Step 2: Add to your AI client (replace YOUR_API_KEY):
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
| 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 |
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.