How to Use the New York Times MCP in CrewAI

Q: How do CrewAI agents share New York Times data?

They use shared memory. When one agent executes gettopstories, the data becomes available to every other agent in the crew.

Q: Can I filter which New York Times tools my CrewAI agents use?

Yes. Use the toolfilter option when setting up your agents. This limits them to only the specific tools they need for their assigned role.

Deploy a specialized crew of autonomous agents to monitor New York Times content using this MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect New York Times MCP to CrewAI

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

GDPR Free for Subscribers

Setup New York Times with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous monitoring for your CrewAI team

Assign a researcher agent to scan for updates with `get_top_stories`. While that agent pulls fresh data, a second agent can analyze the content for trends. This setup allows for true collaboration. One agent handles the data retrieval, and the other handles the synthesis, all within the same memory space.

Specialized news analysis in CrewAI

Give your agents access to `get_movie_reviews` or `get_book_lists` for cultural analysis. Each agent can hold a different role, like a critic or a data historian. They share the results in real-time. This means your analyst agent sees the reviews as soon as the researcher agent pulls them from the API.

Hierarchical news operations with CrewAI

Structure your crew to escalate findings from `search_articles` to a manager agent. If the search returns a critical hit, the manager can trigger a follow-up action. It removes the need for you to oversee every step. You set the goals, and the crew uses the tools to execute the mission.

Setup guide

Set up New York Times MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke New York Times tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="New York Times Analyst",
    goal="Access and analyze New York Times data via MCP.",
    backstory="Expert analyst with direct New York Times access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent New York Times transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="New York Times Analyst",
        goal="Access and analyze New York Times data via MCP.",
        backstory="Expert analyst with direct New York Times access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent New York Times transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect New York Times now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about New York Times MCP in CrewAI

They use shared memory. When one agent executes `get_top_stories`, the data becomes available to every other agent in the crew.

Yes. Use the tool_filter option when setting up your agents. This limits them to only the specific tools they need for their assigned role.

It does. You can have a manager agent direct subordinate agents to run `get_archive` queries based on the manager's current task.

They might if you run too many parallel queries. Keep an eye on your usage and consider staggering your agents' execution time.

Your data is handled in a secure, isolated sandbox. Only the agents in your specific crew have access to the information returned by the server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the New York Times MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started