📰 NYT
Access New York Times articles and content
NYT MCP server overview
This MCP Server Hub listing collects the source repository, setup notes, feature summary, and README details for NYT. Use it to decide whether this MCP server fits your AI assistant workflow before installing it locally or connecting it to a compatible client.
NYTimes Article Search MCP Server
This is a TypeScript-based MCP server that allows searching for New York Times articles from the last 30 days based on a keyword. It demonstrates core MCP concepts by providing:
- Tools for searching articles
- Integration with the New York Times API

Features
Tools
search_articles- Search NYTimes articles from the last 30 days based on a keyword- Takes
keywordas a required parameter - Returns a list of articles with title, abstract, URL, published date, and author
- Takes
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Installation
Installing via Smithery
To install NYTimes Article Search for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install nyt --client claude
Manual Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"nyt": {
"command": "node",
"args": ["path/to/your/build/index.js"],
"env": {
"NYTIMES_API_KEY": "your_api_key_here"
}
}
}
}
Environment Variables
Create a .env file in the root of your project and add your New York Times API key:
NYTIMES_API_KEY=your_api_key_here
Running the Server
After building the project, you can run the server with:
node build/index.js
The server will start and listen for MCP requests over stdio.
License
This project is licensed under the MIT License.