- VIEWER DATA
- VIRALITY
- ENGAGEMENT
- HUMAN
Short answer
How can I see what's trending on the New York Times using AI?
Your AI pulls the latest most viewed, most shared, and most emailed stories directly from the New York Times. You get a clear view of what people are reading and passing along. This breakdown shows how to turn that data into actionable insights.
The outcomes.
Where the data lands.
The information flows from the newsroom to your chat interface through these specific outcomes.
VIEWER DATA
Identify top readership
The AI identifies which stories are pulling the most eyes. You see exactly what is currently dominating the main sections.
VIRALITY
Spot social momentum
By looking at shared content, your agent finds stories that are moving through social networks. This helps you catch trends before they peak.
ENGAGEMENT
Track deep interest
Emailed stories indicate high-intent interest. Your AI flags these to show you what readers find important enough to send to others.
HUMAN
Refine the narrative
The AI provides the raw trends, but you decide how to interpret the cultural significance. You make the final call on why these stories matter.
The workflow
What your AI does when the data arrives.
Your agent acts as a bridge between the New York Times database and your specific questions.
Pull high-traffic stories
The agent scans the publication to find the articles with the highest view counts.
get_most_viewedDetect viral content
Your AI identifies stories that are being shared most frequently across platforms.
get_most_sharedMonitor direct engagement
The agent pulls a list of stories that readers are emailing to their contacts.
get_most_emailedSynthesize trends
Your agent compares the view, share, and email data to find overlapping topics of interest.
get_most_viewedget_most_sharedget_most_emailed
Try it
Copy these to start.
Paste these directly into your chat to begin analyzing the New York Times.
Starting points
These are basic starting lines. Swap out the specific topics or timeframes to get more tailored results.
New York Times Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Lex2ofQWlAyV3K3Um6YkaPdR2TvAj0YyZULynJbO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — New York Times capabilities are ready to use.
{
"mcpServers": {
"new-york-times-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Lex2ofQWlAyV3K3Um6YkaPdR2TvAj0YyZULynJbO/mcp"
}
}
}What are the most viewed stories on the New York Times right now?
Show me the most shared articles from the last 24 hours.
Which stories are being emailed most frequently today?
Compare the most viewed stories with the most shared stories to find unique trends.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect New York Times once, then ask.
Just click to connect. Your credentials stay encrypted, and you can immediately start asking questions in your preferred AI client.
Connect New York Times to your AIFAQ
How this task behaves.
- 01
Can the AI write new articles based on these trends?
No. The AI only retrieves and analyzes existing data from the New York Times.
- 02
Does the AI have access to paywalled content?
The AI can only access the data provided through the specific tools in this MCP.
- 03
Can the AI change or delete stories on the New York Times website?
No. This connection is read-only. The AI cannot modify any content on the publisher's site.
- 04
How often does the trending data update?
The data is as current as the New York Times' own real-time metrics when the tools are called.
- 05
Can I ask the AI to find specific authors?
No. The current tools are limited to most viewed, shared, and emailed stories.
More questions about New York Times? See everything the New York Times Connector can do
Connect New York Times to Claude, Cursor, ChatGPT & more
