Transform New York Times Article Search API into MCP Server for AI Integration

This workflow converts the New York Times Article Search API into an MCP-compatible server, enabling seamless integration with AI agents for querying articles.

n8n
Alex Petrov

50 workflows

This workflow provides a streamlined method to access the New York Times Article Search API through an MCP server, allowing AI agents to query articles from 1851 to the present. It utilizes n8n's HTTP Request nodes to handle API calls and AI expressions for dynamic parameter population. The workflow supports various query parameters, including search terms, date ranges, and sorting options, and returns results directly to AI agents in their native format.

$4.99
Last updated October 3, 2026
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Tags

stickyNote
httpRequestTool
mcpTrigger

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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