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News Volume Trends MCP logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 1:15:54 AM

News Volume Trends MCP

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newstrendsanalyticsmcp

Query news and platform trend history, calculate topic growth, and retrieve live ranked feeds through MCP.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” 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": {
    "news-volume-trends-mcp-2": {
      "url": "https://api.trendsmcp.ai/mcp",
      "env": {
        "TRENDSMCP_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

News Volume Trends MCP MCP server connects AI agents to hosted trend data across Google, TikTok, YouTube, Amazon, Reddit, and other sources. It provides tools for retrieving keyword history, calculating percentage growth, and listing live ranked trends. Use it when an agent needs cross-source topic measurement or current platform rankings instead of manually collecting data. The hosted endpoint uses a Bearer API key, while the repository also provides a stdio adapter.

Use cases

β€’Compare topic growth across Google, TikTok, and Amazon
β€’Retrieve weekly or daily history for a keyword
β€’Find live ranked trends on a supported feed
β€’Measure several growth windows in one request

Key features

β€’Keyword time series by source
β€’Point-to-point growth calculations
β€’Live ranked trend feeds
β€’Cross-source growth queries
β€’Hosted HTTP and local stdio access
β€’Normalized 0–100 trend indexes

Capabilities & Tool Schemas (3) ~129 tokensApproximate context cost of this server’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 β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by News Volume 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 News Volume Trends MCP works

What News Volume Trends MCP MCP server does

News Volume Trends MCP MCP server gives AI agents access to trend measurements from Google, TikTok, YouTube, Amazon, Reddit, and more than 30 other sources. The service is designed for questions about how much attention a topic receives, how that attention changes over time, and what is currently ranking on a platform.

Its three MCP tools cover distinct tasks:

  • get_time_series returns weekly history by default, or daily history where supported, for one keyword on one source.
  • get_growth calculates point-to-point percentage change for one keyword and source. Multiple comparison windows can be requested together.
  • get_top_trends returns a live ranked feed and does not take a keyword.

The data uses a normalized 0–100 index where the source pipeline supports it. A returned series may also include absolute volume when the source provides that measure.

How it works

The hosted MCP endpoint is https://api.trendsmcp.ai/mcp. Requests use one TrendsMCP Bearer API key, and the same account can also access the REST endpoint at https://api.trendsmcp.ai/api. The repository includes a local stdio adapter for hosts such as Glama, but hosted HTTP is the documented default.

Keyword tools require both keyword and source. Each time-series request handles one source and one keyword. Growth requests can use one source or a comma-separated source list, with presets ranging from 7 days to 5 years, plus month-to-date, quarter-to-date, and year-to-date options. get_top_trends instead requires a feed type on MCP; the value must match the feed name exactly, including capitalization.

Setup and configuration

Create an account and obtain an API key before making paid data requests. Remote clients connect to the hosted URL with an Authorization: Bearer YOUR_API_KEY header. Claude.ai uses its custom connector OAuth flow instead, so a Bearer key should not be placed in that connector configuration.

For local stdio use, install the repository package and run python -m trends_mcp_server. Set TRENDSMCP_API_KEY in the process environment for calls that consume the account quota. The adapter can list tools without a key, but authenticated calls use the same quota as hosted access.

The README documents configuration examples for Claude Code, Cursor, VS Code, Windsurf, Cline, and Claude Desktop. Claude Desktop requires the mcp-remote package because it does not provide native HTTP support. Cursor, VS Code, and Windsurf use client-specific remote-server configuration formats.

Tools and capabilities

News Volume Trends MCP MCP server supports historical analysis and current-feed lookup rather than arbitrary web scraping. get_time_series accepts data_mode on REST, with weekly as the default and daily as the alternative. REST also recognizes get_trends as an alias for the time-series mode, while the MCP tool remains named get_time_series.

get_growth defaults to a 12-month comparison when no window is supplied. Supported presets include 7D, 30D, 6M, 12M, 1Y, 2Y, 3Y, 5Y, MTD, QTD, and YTD, among others. Several windows in one call count as one request for the selected source and keyword.

get_top_trends supports pagination through limit and offset, with a default limit of 25 and a maximum of 200. Results can be ordered by rank or rank change. Some feed types also accept a category, and rank-change queries support 1-, 3-, 7-, 14-, or 30-day windows. On REST, leaving out type requests every feed and is billed per feed.

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

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Adoption & maintenance

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

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about News Volume Trends MCP

News Volume Trends MCP is an MCP server that connects AI agents to TrendsMCP data from Google, TikTok, YouTube, Amazon, Reddit, and other sources. Its main tools retrieve keyword time series, calculate percentage growth across comparison windows, and return live ranked feeds without requiring a keyword.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot)
Last updatedOct 8, 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 stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 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
48Quality signal: Fair Β· 48/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” 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 & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8/27/2026 via OSV.dev Β· https://api.trendsmcp.ai/mcp (PyPI)

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