How to Use the New York Times MCP in OpenAI Agents SDK
Build production agents that query the NYT archive with this MCP Server, backed by the safety and tracing of the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect New York Times MCP to OpenAI Agents SDK
Create your Vinkius account to connect New York Times to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Search the News, Safely
The `search_articles` tool gives your agent a direct line to the New York Times archive. You can have it find articles by keyword, date range, or relevance, letting you build agents that track topics over time. The OpenAI Agents SDK wraps this in a guardrail. Before your agent executes a search, you can validate the query parameters. This stops it from running overly broad or expensive searches, giving you real control over a production system.
Track What's Trending
Use the `get_most_emailed`, `get_most_shared`, and `get_most_viewed` tools to see what's currently popular. Your agent can pull this data for specific periods—1, 7, or 30 days—to build daily briefings or spot trends. With the OpenAI framework, you can create a specialized 'trends agent' and hand off tasks to it. The built-in tracing shows you exactly which tool was called with which parameters, so you always have a clear audit trail of how your agent got its information.
Culture & Media for your OpenAI Agent
This server isn't just news. Your agent can access cultural data using `get_book_lists` for best-sellers and `get_movie_reviews` to find critiques. Since tools are auto-discovered, your agent knows about these capabilities immediately. Just pass the server to the `Agent` constructor. Setting `cacheToolsList=True` means the agent doesn't have to fetch the tool list on every startup, which is what you want in production.
Set up New York Times MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all New York Times tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives New York Times tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate New York Times tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="New York Times Agent",
instructions="You have access to New York Times tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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