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Reddit Trends MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 1:15:55 AM

Reddit Trends MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
reddittrendssocial-mediaanalyticsmcp

Queries Reddit trend history, growth, and live ranked trends through MCP with a TrendsMCP API key.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below โ€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "reddit-trends-mcp-2": {
      "url": "https://api.trendsmcp.ai/mcp",
      "env": {
        "TRENDSMCP_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing Alternatives๐ŸŒ More in Social Media

Overview

Reddit Trends MCP MCP server exposes Reddit trend data through three MCP tools for historical series, percentage growth, and live rankings. It connects to the hosted TrendsMCP endpoint at https://api.trendsmcp.ai/mcp and authenticates with a Bearer API key, while a repository-provided stdio adapter supports local hosts. Use it to investigate how a keyword changes over time, compare growth windows, or retrieve current ranked feeds without scraping Reddit yourself.

Use cases

โ€ขTrack a Reddit keyword over weekly or daily intervals
โ€ขCompare 6-month growth across selected sources
โ€ขRetrieve current ranked trend feeds
โ€ขMeasure several growth windows in one request

Key features

โ€ขHistorical time-series queries
โ€ขPoint-to-point growth calculations
โ€ขLive ranked trend feeds
โ€ขMulti-source growth comparisons
โ€ขHosted HTTP and local stdio access
โ€ขAPI and MCP interfaces

Capabilities & Tool Schemas (3) ~129 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Reddit Trends MCP.

get_time_series

Weekly (or daily) history for **one** `source` + `keyword`. Same name on MCP and REST (`mode: "get_time_series"`). REST also accepts `get_trends` as an alias.

get_growth

Point-to-point percent change. Several windows in one call still count as **one** request for that source + keyword.

get_top_trends

Live ranked list. **No keyword.** On MCP, `type` is required and must match the feed name **exactly** (including capitals). On REST, omit `type` only if you intend to pull every feed (billed per feed).

How Reddit Trends MCP works

What Reddit Trends MCP MCP server does

Reddit Trends MCP provides agent-accessible trend data through the Model Context Protocol. Its three tools cover distinct research tasks: get_time_series returns historical values for one keyword on one source, get_growth calculates point-to-point percentage changes, and get_top_trends returns a live ranked feed without requiring a keyword.

The service is centered on Reddit trend data, but the underlying TrendsMCP API supports a catalog of sources. The source argument identifies the source used by a query, and keyword formats depend on that source. This makes the server suitable for trend checks that need a consistent tool interface rather than custom scraping code.

How it works

The hosted MCP endpoint is https://api.trendsmcp.ai/mcp. Requests use a Bearer API key. The same key can also authenticate REST requests at https://api.trendsmcp.ai/api; the REST operation for historical data is get_time_series, with get_trends accepted as an alias.

get_time_series requires both keyword and source, and processes one source-keyword pair per call. Results use a 0โ€“100 index where the data pipeline supports it, with 100 representing the peak in the returned period. A volume series is included when the selected source provides absolute volume data. Weekly data is the default, while daily data is available through the REST API.

get_growth also requires a keyword and source. It accepts multiple comparison windows in one call, including presets such as 7D, 30D, 6M, 12M, 1Y, and 5Y, or custom recent and baseline dates. A comma-separated source list can be used for comparisons across sources.

get_top_trends is for current rankings and does not take a keyword. In MCP calls, type is required and must exactly match the feed name, including capitalization. Optional pagination, category, result limit, and ranking-change settings refine the returned feed.

Setup and configuration

Create an API key through the TrendsMCP account page before making paid data calls. The README identifies a free allowance of 100 requests per month. For the hosted connection, configure the MCP client with the endpoint and an Authorization: Bearer YOUR_API_KEY header.

The repository also includes a Python stdio adapter. Install the project, run python -m trends_mcp_server, and provide the key through TRENDSMCP_API_KEY. The adapter can list tools without a key, but data calls require authentication and use the same quota. Claude Desktop can use mcp-remote to bridge the hosted HTTP endpoint because it does not provide native HTTP MCP support.

Tools and capabilities

  • Retrieve weekly or daily historical series for one source and keyword.
  • Calculate growth across one or more supported time windows.
  • Compare growth for several sources in a single get_growth call.
  • Fetch live ranked feeds with limits up to 200 and pagination.
  • Sort live results by rank or rank change over supported windows.

Limitations and notes

Each historical or growth query is scoped to a source and keyword. get_top_trends uses feed names rather than keywords, and MCP requires the exact type value. On REST, leaving type out requests every feed and is billed per feed. Some live-feed categories are required for particular feed types, including Amazon, Google Trends, Top Websites, Substack, and TikTok hashtag boards.

The Reddit Trends MCP MCP server does not require clients to scrape data locally, but access still depends on the TrendsMCP API key and its quota. The README names Claude, Cursor, ChatGPT, and VS Code quick-install paths, plus manual configurations for Claude Code, Windsurf, Cline, and Claude Desktop; ChatGPT is not represented in the directory's compatible-client slug list.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.

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Frequently Asked Questions about Reddit Trends MCP

Reddit Trends MCP is an MCP server that connects AI agents to TrendsMCP trend data through hosted HTTP or a local stdio adapter. Its main tools retrieve keyword time series, calculate percentage growth across time windows, and return live ranked feeds. Calls require a TrendsMCP API key for data access.

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Technical Specs & Signals

Category๐ŸŒSocial Media
More technical detailsExpand โ–พ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot)
Last updatedOct 6, 2026
9/9 checks healthy over the last 41d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 30, 2026
49Quality signal: Fair ยท 49/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8/27/2026 via OSV.dev ยท https://api.trendsmcp.ai/mcp (npm)

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