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Reddit Trends Api MCP Server

Marketing & SocialLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai

About

Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai

Remote endpoints: streamable-http: https://reddit.api.trendsapi.ai/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-trendsapi-reddit": {
      "url": "https://reddit.api.trendsapi.ai/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Reddit discussion-attention API

Reddit attention trends via the Trends API. Subreddit history, growth, and live hot posts. Not PRAW.

License: MIT PyPI Python

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

pip install trendsapi-reddit
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

from trendsapi_reddit import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "reddit". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

MethodREST modeReturns
get_time_series(keyword, source=, data_mode=)get_time_serieslist[TrendsDataPoint]
get_growth(keyword, percent_growth=, source=, data_mode=)get_growthGetGrowthResponse
get_live(limit=, offset=, category=)get_top_trendsGetTopTrendsResponse
get_top_trends(type=, ...)get_top_trendsGetTopTrendsResponse

source is lowercase (reddit). type is exact (Reddit Hot Posts). Mixing them is a 400.

from trendsapi_reddit import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("wallstreetbets")
print(series[-1].date, series[-1].value)

growth = client.get_growth("wallstreetbets", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

points = client.get_time_series("wallstreetbets")

Each point:

FieldAlwaysMeaning
dateyesYYYY-MM-DD
valueyes0-100 index for this series
keywordyesEcho
volumenoAbsolute volume when available
source or datatypenoPipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

g = client.get_growth("wallstreetbets", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

FieldMeaning
search_termKeyword
data_sourceSource
resultsOne object per window (period, growth, direction, dates, values)
metadataCounts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

hot = client.get_live(limit=10)
FieldMeaning
as_of_tsSnapshot time
typeFeed name
limit, offset, countPagination
data[rank, label] rows

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

import asyncio
from trendsapi_reddit import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("wallstreetbets"),
        c.get_time_series("wallstreetbets", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

from dataclasses import asdict
import pandas as pd
from trendsapi_reddit import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("wallstreetbets"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Call (curl)

FieldValue
EndpointPOST https://api.trendsapi.ai/api
AuthAuthorization: Bearer $TRENDSAPI_KEY
Historysource: reddit with get_time_series or get_growth
KeywordSubreddit or topic, no r/ prefix, e.g. wallstreetbets
Live typeReddit Hot Posts, Reddit World News
curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"reddit","keyword":"wallstreetbets"}'

Source notes

  • source is always reddit. The community goes in keyword.
  • value is not subscriber count.
  • You cannot post, vote, or stream comments.

Errors

HTTPClient
200Parsed payload. Python dataclasses / JS typed objects
400Raises. Fix source or type spelling
401Raises. Check TRENDSAPI_KEY
404Raises. No series for that keyword. Do not retry
429Raises. Quota
5xxClient retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/reddit-trends.

License

MIT. See LICENSE.

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