New York Times MCP Server for AutoGen 9 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add New York Times as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="new_york_times_agent",
tools=tools,
system_message=(
"You help users with New York Times. "
"9 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About New York Times MCP Server
Connect the New York Times API to any AI agent and unlock access to over 170 years of journalism — including breaking news, historical archives, best-seller lists, and cultural reviews.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use New York Times tools. Connect 9 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Top Stories — Get the latest top stories for any section (World, Politics, Tech, Sports, etc.)
- Article Search — Search the complete archive from 1851 to the present day with keywords and date filters
- Most Popular — See what readers are emailing, sharing, and viewing the most
- Best-Seller Lists — Retrieve current and historical book best-seller lists
- Movie Reviews — Access thousands of movie reviews and critic summaries
- Section Discovery — List all available sections and topics covered by the NYTimes
The New York Times MCP Server exposes 9 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect New York Times to AutoGen via MCP
Follow these steps to integrate the New York Times MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 9 tools from New York Times automatically
Why Use AutoGen with the New York Times MCP Server
AutoGen provides unique advantages when paired with New York Times through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use New York Times tools to solve complex tasks
Role-based architecture lets you assign New York Times tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive New York Times tool calls
Code execution sandbox: AutoGen agents can write and run code that processes New York Times tool responses in an isolated environment
New York Times + AutoGen Use Cases
Practical scenarios where AutoGen combined with the New York Times MCP Server delivers measurable value.
Collaborative analysis: one agent queries New York Times while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from New York Times, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using New York Times data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process New York Times responses in a sandboxed execution environment
New York Times MCP Tools for AutoGen (9)
These 9 tools become available when you connect New York Times to AutoGen via MCP:
get_archive
Get all articles for a specific month
get_book_lists
"list_name_encoded" is the list slug (e.g., "hardcover-fiction"). Optional date is YYYY-MM-DD. Get current or historical best-seller lists
get_most_emailed
Period can be 1, 7, or 30 days. Get the most emailed articles for a specific period
get_most_shared
Period can be 1, 7, or 30 days. Get the most shared articles on social media
get_most_viewed
Get the most viewed articles
get_movie_reviews
Optional "query" filters by movie title. Search for movie reviews in the NYTimes archive
get_sections
List all available news sections
get_top_stories
g., home, world, politics, technology, sports). Use get_sections to see available options. Get top stories for a specific section
search_articles
Use "q" for keywords, "begin_date" and "end_date" for date ranges (YYYYMMDD), and "sort" for "newest", "oldest", or "relevance". Search for articles using keywords, date ranges, and sorting
Example Prompts for New York Times in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with New York Times immediately.
"Show me today's top world news."
"What is the #1 Hardcover Fiction book this week?"
"Find movie reviews for 'The Godfather'."
Troubleshooting New York Times MCP Server with AutoGen
Common issues when connecting New York Times to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"New York Times + AutoGen FAQ
Common questions about integrating New York Times MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect New York Times to AutoGen
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.