News Site Article Archive MCP Server
Uses the Internet Archive capture index to discover article URLs beyond available sitemaps and can retrieve archived copies of pages that are gone from the publisher's site, such as pages returning 404, 410, 500, 502, or 504.
Collects full-text TechCrunch articles within a specified date range, returning article text, published date, title, author, and section. Supports filtering by URL text and limiting the number of articles per site.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@News Site Article Archive MCP Server Get every TechCrunch article published in January 2016."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
News Site Article Archive MCP Server
An MCP server for the Mamba Labs News Site Article Archive actor on Apify. Full article text and dates from named news sites across a past date range.
What's Inside
Related MCP server: article-scraper-mcp
What it does
Give news sites and a date range. The actor finds article addresses in the site sitemaps and the Internet Archive capture index, reads each page over plain HTTP, and returns one row per article with full text, published date, title, author, and section. A page gone from the site can be read from an Internet Archive copy. Paywalled and refused pages return a free row with no text.
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-site-article-archive": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-news-site-article-archive"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}Restart the client. The collect_news_site_articles 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
"Get every article this news site published in January 2016."
"Collect 10 years of reports from these three news sites."
"Pull the full text of this site's politics stories from last year."
Tool
collect_news_site_articles. One tool. Example arguments:
{
"sites": [
"techcrunch.com"
],
"date_from": "2016-01-01",
"date_to": "2016-01-31",
"max_articles_per_site": 5
}Inputs
Every buyer facing input of the actor. Omitted inputs take the actor's own defaults.
Input | Type | Required | Description |
| array | no | News sites by domain, for example techcrunch.com, up to 20. |
| string | no | The earliest published date, as YYYY-MM-DD. Default: 30 days before Date to. |
| string | no | The latest published date, as YYYY-MM-DD. Default: today. |
| number | no | Articles to return from each site, up to 5,000. Default 100. |
| array | no | Optional. Keep only addresses with any of these texts, for example /politics/. |
| number | no | Pages with fewer words are not counted as articles and are free. Default 80. |
| boolean | no | yes (default): when the sitemaps run out, also find addresses in the Internet Archive capture index, which reaches years that sitemaps no longer list. no: sitemaps only. |
| boolean | no | yes (default): a page the site answers with 404, 410, 500, 502, or 504 is read from the Internet Archive, at the archived row price. Refused and paywalled pages are never read from an archive. no: gone pages return a free row. |
| boolean | no | yes (default): pages robots.txt disallows are skipped and counted. no: read them anyway. |
| string | no | Optional. The run stops before a charge that would pass this amount. Summary rows are always returned. |
Pricing
Pay per event on Apify, billed to your Apify account. Prices in USD.
Event | Free plan | Bronze | Silver | Gold |
| $0.003 | $0.00285 | $0.0027 | $0.00255 |
| $0.003 | $0.00285 | $0.0027 | $0.00255 |
| $0.021 | $0.021 | $0.021 | $0.021 |
Refused, paywalled, gone, and out of range pages, summary rows, and refused input are free. Mamba Labs pays the platform costs of the run, Apify proxy traffic included. Mamba Labs pays the platform costs of the run, Apify proxy traffic included.
Full actor documentation
apify.com/mambalabs/news-site-article-archive
License
MIT. See LICENSE.
Available Tools
1 toolcollect_news_site_articlesCollect articles from news sites by date rangeARead-onlyIdempotent
Find the articles a named news site published in a past date range, from its sitemaps and the Internet Archive capture index, and return full text, published date, title, author, and section. Paywalled and refused pages return a free row with no text. No browser, so sites built by JavaScript return little. Pay per event on Apify: 0.003 USD per article.
Inputs: sites, date_to, date_from, min_words, +6 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusing it with another. Its purpose — retrieving archived articles from a named news site for a date range — is stated explicitly and cannot be mistaken for anything else.
The single name collect_news_site_articles follows a clear verb_noun snake_case convention consistent with common MCP patterns. With only one tool there is no cross-tool pattern to evaluate, so it cannot demonstrate full consistency across a set.
The narrow scope (one retrieval operation over sitemaps plus archive index) means a single tool is defensible, but a one-tool surface is thin and offers no way to discover supported sites or adjust output. It sits at the borderline of minimal but adequate.
The core retrieve-articles operation is covered end to end, including full text and metadata, but there is no companion tool for listing supported sites, paginating large date ranges, or handling failed/JavaScript-heavy sites. Agents hitting those limits have no fallback within the server.
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