NYT Article Search API MCP Server for AI Agents

This n8n workflow transforms the New York Times Article Search API into a fully functional MCP (Model Context Protocol) server, designed specifically for AI agents. It provides a single endpoint for searching articles using the GET /articlesearch.json operation, handling authentication, parameters, and responses natively. With just a few setup steps, you can run your own MCP server locally or in production, bridging the NYT API to tools like Claude Desktop or Cursor.

The workflow uses an MCP Trigger node as the entry point, which receives requests from AI agents. It leverages HTTP Request nodes to query the NYT API at http://api.nytimes.com/svc/search/v2, automatically populating parameters via AI expressions like $fromAI(). Error handling is built-in, ensuring robust responses that match the native API structure, including full article data, metadata, and facets.

Ideal for developers building AI-powered research tools, news aggregators, or content analysis apps. Benefits include zero-code AI integration, automatic parameter handling from natural language prompts, and seamless scalability within n8n. Use cases: AI agents querying recent articles on topics, sentiment analysis pipelines, or automated journalism workflows.

Quick setup minimizes friction: import, add NYT credentials, activate, copy the webhook URL, and connect your AI agent.