News MCP Server for Pydantic AIGive Pydantic AI instant access to 3 tools to Get Top Headlines, List Sources, Search Everything

Name: News
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect News through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The News MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to News "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in News?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 News MCP Server

Connect your AI agent to the world's most comprehensive news database. This server provides instant access to live headlines and historical articles from thousands of publishers worldwide, ranging from major news outlets to niche blogs.

Pydantic AI validates every News tool response against typed schemas, catching data inconsistencies at build time. Connect 3 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.

What you can do

Global Search — Search through millions of articles using advanced keywords, date filters, and domain restrictions.
Breaking Headlines — Get the latest top stories filtered by country, category (business, tech, sports, etc.), or specific publishers.
Source Discovery — Find and filter valid news sources and publishers to fine-tune your monitoring.
Market Intelligence — Track mentions of companies, products, or trends across the global media landscape.

The News MCP Server exposes 3 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 3 News tools available for Pydantic AI

When Pydantic AI connects to News through Vinkius, your AI agent gets direct access to every tool listed below — spanning breaking-news, article-search, media-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get top headlines on News

Do not mix country/category with sources. Returns live top and breaking headlines

list

List sources on News

Returns a list of publishers available for top headlines

Search everything on News

Supports advanced operators (+, -, AND, OR, NOT) in the query. Search through millions of articles from over 150,000 news sources

Connect News to Pydantic AI via MCP

Follow these steps to wire News into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from News with type-safe schemas

Why Use Pydantic AI with the News MCP Server

Pydantic AI provides unique advantages when paired with News through the Model Context Protocol.

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 News integration code

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

Dependency injection system cleanly separates your News connection logic from agent behavior for testable, maintainable code

News + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the News MCP Server delivers measurable value.

Type-safe data pipelines: query News with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple News tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query News and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock News responses and write comprehensive agent tests

Example Prompts for News in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with News immediately.

"Search for the latest news about 'Quantum Computing' from the last 7 days."

"What are the top technology headlines in the US right now?"

"List all available news sources for sports in France."

Troubleshooting News MCP Server with Pydantic AI

Common issues when connecting News to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

News + Pydantic AI FAQ

Common questions about integrating News MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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