4,000+ servers built on MCP Fusion
Vinkius
Pydantic AISDK
Pydantic AI
Why use New York Times MCP Server with Pydantic AI?

Bring Journalism
to Pydantic AI

Create your Vinkius account to connect New York Times to Pydantic AI and start using all 9 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get ArchiveGet Book ListsGet Most EmailedGet Most SharedGet Most ViewedGet Movie ReviewsGet SectionsGet Top StoriesSearch Articles
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
New York Times

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your NYTimes Developer API Key
  3. Start exploring world-class journalism from Claude, Cursor, or any MCP-compatible client

The NYTimes API is free for development use, providing a generous limit of requests per day.

Who is this for?

  • Researchers & Historians — Track how events were reported over decades using the extensive archive
  • Journalists & Writers — Find background context and related coverage for current events
  • Book Lovers — Check weekly best-seller lists and discover trending authors
  • Cinephiles — Explore the Paper of Record's vast collection of film criticism

Built-in capabilities (9)

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

Why Pydantic AI?

Pydantic AI validates every New York Times tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

  • Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

  • Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your New York Times integration code

  • Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • Dependency injection system cleanly separates your New York Times connection logic from agent behavior for testable, maintainable code

P
See it in action

New York Times in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run New York Times with Vinkius?

The New York Times connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 9 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

New York Times
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect New York Times using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

New York Times and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect New York Times to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures New York Times for Pydantic AI

Every request between Pydantic AI and New York Times is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How far back does the NYTimes archive go?

The article search API provides access to articles dating back to 1851. It is one of the most comprehensive historical newspaper archives available.

02

Can I get the actual text of the articles?

The API provides the headline, abstract (summary), snippet, and URL to the full article on NYTimes.com. Full text is not included in the API response but can be accessed via the provided link.

03

What sections are available for Top Stories?

You can access almost any section of the NYTimes, including home, world, politics, business, technology, sports, arts, health, and science. Use the get_sections tool to see the full list.

04

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

05

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

06

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your New York Times MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Explore More MCP Servers

View all →