NewsCatcher MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NewsCatcher through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 NewsCatcher "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in NewsCatcher?"
)
print(result.data)
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 NewsCatcher MCP Server
Connect NewsCatcher to any AI agent and access a massive, real-time news feed aggregator with powerful clustering and filtering capabilities.
Pydantic AI validates every NewsCatcher tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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
- Real-Time Search — Search millions of articles instantly with keyword, language, country, and source filters
- Latest News Feed — Get the most recent articles for any topic or publisher
- News Clustering — Group similar stories to see how different outlets cover the same event
- Source Discovery — List available news sources by country, topic, or language
- Global Coverage — Access news from over 100,000 sources worldwide
The NewsCatcher MCP Server exposes 4 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 NewsCatcher to Pydantic AI via MCP
Follow these steps to integrate the NewsCatcher MCP Server with Pydantic AI.
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 4 tools from NewsCatcher with type-safe schemas
Why Use Pydantic AI with the NewsCatcher MCP Server
Pydantic AI provides unique advantages when paired with NewsCatcher 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 NewsCatcher integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your NewsCatcher connection logic from agent behavior for testable, maintainable code
NewsCatcher + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the NewsCatcher MCP Server delivers measurable value.
Type-safe data pipelines: query NewsCatcher with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple NewsCatcher tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query NewsCatcher and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock NewsCatcher responses and write comprehensive agent tests
NewsCatcher MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect NewsCatcher to Pydantic AI via MCP:
get_latest_news
Use "q" for keywords, "topic" (e.g., "sports"), "countries" (e.g., "US"), or "sources" (e.g., "cnn.com"). Get the latest news articles for a topic or source
get_news_clusters
Get grouped news stories (clusters)
list_sources
Filter by "topic", "countries", or "lang". List available news sources
search_news
Use "q" for keywords, "lang" for language (e.g., "en"), "countries" for country codes (e.g., "US"), and "sort_by" (relevancy, date). Search for news articles using keywords and filters
Example Prompts for NewsCatcher in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with NewsCatcher immediately.
"Find latest news about 'Artificial Intelligence' in the US."
"Show me clusters for the topic 'Elections'."
"List all English news sources available for Sports."
Troubleshooting NewsCatcher MCP Server with Pydantic AI
Common issues when connecting NewsCatcher to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNewsCatcher + Pydantic AI FAQ
Common questions about integrating NewsCatcher MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect NewsCatcher with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect NewsCatcher to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.