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NewsAPI MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 NewsAPI "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
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About NewsAPI MCP Server

Connect NewsAPI to any AI agent and access real-time breaking news, top headlines, and 5 years of historical articles from over 150,000 news sources worldwide.

Pydantic AI validates every NewsAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

  • Top Headlines — Get live breaking news for any country or category
  • Full-Text Search — Search every article ever published with keyword, date, and language filters
  • Source Discovery — List all available news publishers indexed by the API
  • Multi-Language — Access news in English, Portuguese, Spanish, French, and more
  • Historical Research — Query articles from the last 5 years for trend analysis
  • Domain Filtering — Restrict searches to specific domains or sources

The NewsAPI MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 NewsAPI to Pydantic AI via MCP

Follow these steps to integrate the NewsAPI MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from NewsAPI with type-safe schemas

Why Use Pydantic AI with the NewsAPI MCP Server

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

01

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

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NewsAPI integration code

03

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

04

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

NewsAPI + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

NewsAPI MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect NewsAPI to Pydantic AI via MCP:

01

get_articles_by_language

g., "en", "pt", "es"). Search articles by language

02

get_articles_from_domains

Search articles from specific domains

03

get_headlines_by_category

Get top headlines by category

04

get_headlines_by_country

g., "us", "br", "gb"). Get top headlines by country

05

get_headlines_by_source

g., "bbc-news", "cnn"). Get headlines from specific sources

06

get_popular_articles

Search most popular articles

07

get_recent_articles

Search most recent articles

08

list_sources

List available news sources

09

search_articles

Search all articles (Everything)

10

search_headlines

Search headlines by query

Example Prompts for NewsAPI in Pydantic AI

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

01

"Show me top business headlines in the US."

02

"Search for articles about 'Artificial Intelligence regulation' from the last 30 days."

03

"What are the main news sources in Brazil?"

Troubleshooting NewsAPI MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NewsAPI + Pydantic AI FAQ

Common questions about integrating NewsAPI MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect NewsAPI to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.