How to Use the New York Times MCP in Mastra AI

Q: Does this New York Times server support human approval in Mastra AI?

It does. You can enable requireToolApproval in your client config. This forces the agent to pause before executing sensitive queries.

Q: Can I use Mastra AI to aggregate New York Times sections daily?

You can schedule a workflow to run gettopstories for specific sections. It saves you from manual retrieval and keeps your data fresh.

Build complex news-gathering workflows in Mastra AI with this New York Times MCP server.

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Connect New York Times MCP to Mastra AI

Create your Vinkius account to connect New York Times to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup New York Times with Mastra AI

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Perplexity

Automated research loops for Mastra AI agents

Chain your agents to fetch data automatically using `search_articles` and `get_archive`. If a search fails, Mastra AI handles the retry logic for you. This is perfect for building a digest that runs every morning. You define the workflow, and the server handles the heavy lifting of parsing the response.

Conditional news processing in Mastra AI

Use `get_most_shared` or `get_most_emailed` as a trigger for your agent tasks. If the metrics exceed a threshold, you can route the data to a different agent. This keeps your logic clean. You don't need to write custom scrapers when you can just call the tools directly within your workflow steps.

Structured retrieval for Mastra AI workflows

Map your agent's output to specific sections using `get_top_stories`. The tool signatures are typed, so your Mastra AI agent knows exactly what data to expect. It makes your code predictable. You can trust that `get_movie_reviews` will return the fields you need for your summary step.

Setup guide

Set up New York Times MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All New York Times tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "new-york-times-mcp-client",
  servers: {
    "new-york-times-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "New York Times Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to New York Times tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent New York Times transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by New York Times. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about New York Times MCP in Mastra AI

Yes. Mastra AI includes built-in retry logic that you can configure for each tool call. It manages the connection to the server until the request succeeds.

You chain the tools as steps in your agent workflow. The output of `search_articles` flows directly into the next step, like a summary or notification task.

It does. You can enable `requireToolApproval` in your client config. This forces the agent to pause before executing sensitive queries.

You can schedule a workflow to run `get_top_stories` for specific sections. It saves you from manual retrieval and keeps your data fresh.

The server treats each request as an ephemeral transaction. Your search history is not cached or stored by the server after the task finishes.

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