News and Media Mention Monitor MCP Server

An MCP server for the Mamba Labs News and Media Mention Monitor actor on Apify. Give it company names, brands, people, or topics. It reads Google News for each one and returns one row per article: headline, outlet, date, the publisher's own URL and domain, and a headline sentiment label. With only_new on, a repeat call with the same state_key returns only articles it has not returned before.

What's Inside

What it does
Quick start
Prerequisites
Example prompts
Tool
Inputs
Pricing
Your keys
Full actor documentation
License

What it does

Each news.google.com link is resolved to the article's URL on the publisher's site. An article found by two of your search terms comes back once. When a run returns no article, one free summary row says why: nothing matched, everything was returned before, or Google News did not answer. All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-news-media-mention-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-news-media-mention-monitor"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The monitor_news_mentions tool appears.

Prerequisites

Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

"What did the news say about Gong and Salesloft this week?"
"Find news articles about our company from the last 30 days and list the outlets."
"Any negative headlines about Acme Robotics since my last check?"

Tool

monitor_news_mentions. One tool. Example arguments:

{
  "queries": ["\"Acme Robotics\""],
  "since_days": "7",
  "state_key": "acme-weekly"
}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and yes or no values are sent as strings.

Input	Type	Description
`queries`	array	1 to 50 search terms. Required
`exclude_terms`	array	Up to 20 words to leave out
`since_days`	string	Days back, 1 to 90. Default 7
`country`	string	Google News country edition. Default US
`language`	string	Language code. Default en
`resolve_publisher_url`	string	true (default) or false
`only_new`	string	true (default) or false
`state_key`	string	Name for this watch list
`max_articles`	string	Per search term, 1 to 100. Default 50
`max_charge_usd`	string	Optional cap on the run's cost

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
`article-row`, per article returned	$0.0023	$0.002185	$0.00207	$0.001955
`apify-actor-start`, per run start	$0.0015	$0.0015	$0.0015	$0.0015

An article skipped by only_new is not charged. A summary row is free.

Your keys

The actor needs no key and holds none. Proxy traffic adds nothing to your price: Mamba Labs pays the platform costs of the run.

Full actor documentation

apify.com/mambalabs/news-media-mention-monitor

License

MIT. See LICENSE.

News and Media Mention Monitor MCP Server