# How to integrate World news api MCP with Pydantic AI

```json
{
  "title": "How to integrate World news api MCP with Pydantic AI",
  "toolkit": "World news api",
  "toolkit_slug": "world_news_api",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/world_news_api/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/world_news_api/framework/pydantic-ai.md",
  "updated_at": "2026-10-12T13:49:54.611Z"
}
```

## Introduction

This guide walks you through connecting World news api to Pydantic AI using the Composio tool router. By the end, you'll have a working World news api agent that can show top headlines about climate change, find news articles about ai regulation, summarize latest business news from japan through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a World news api account through Composio's World news api MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate World news api with

- [Claude Code](https://composio.dev/toolkits/world_news_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/world_news_api/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/world_news_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/world_news_api/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/world_news_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/world_news_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/world_news_api/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/world_news_api/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/world_news_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/world_news_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/world_news_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/world_news_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/world_news_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/world_news_api/framework/crew-ai)
- [AutoGen](https://composio.dev/toolkits/world_news_api/framework/autogen)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for World news api
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your World news api workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## What is the World news api MCP server, and what's possible with it?

The World News API MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your World News API account. It provides structured and secure access to news sources and articles from around the world, so your agent can search news, find top stories, extract article content, discover sources, and generate RSS feeds on your behalf.
- News search and discovery: Have your agent search indexed news articles for the topics, places, and events you care about.
- Top news monitoring: Let the agent find relevance-ranked top stories for a chosen country, language, and date.
- Article and link extraction: Direct your agent to extract structured content from a public article or collect article links from a news homepage or section.
- Source research: Instruct your agent to find monitored news sources by partial name and check their websites and available languages.
- RSS feed creation: Have your agent turn a public news homepage or section into an RSS feed for ongoing reading and monitoring.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WORLD_NEWS_API_EXTRACT_NEWS` | Extract News Article | Extract structured content from a public article URL. The call costs 2 quota points, plus 2 additional points when analyze is true. Paywalled or login-protected pages may return incomplete content. |
| `WORLD_NEWS_API_EXTRACT_NEWS_LINKS` | Extract News Links | Extract article links from a news homepage or section page. The call costs 1 quota point, and an empty link list is a successful result. |
| `WORLD_NEWS_API_GENERATE_RSS_FEED` | Generate RSS Feed | Generate an RSS 2.0 XML feed from a public news homepage or section URL. Returns raw XML text. The call costs 1 quota point, plus 0.5 points per feed item when extract_news is true. |
| `WORLD_NEWS_API_GET_GEO_COORDINATES` | Get Geo Coordinates | Resolve a place name or address to latitude and longitude for use in Search News location_filter. Costs 1 quota point. |
| `WORLD_NEWS_API_GET_NEWS_BY_IDS` | Get News by IDs | Retrieve full article records for IDs returned by Search News or Get Top News. Costs 0.1 quota points per returned article. |
| `WORLD_NEWS_API_GET_TOP_NEWS` | Get Top News | Return relevance-ranked top-news clusters for a country, language, and optional date. Costs 1 quota point; Free accounts can request about one month of history. |
| `WORLD_NEWS_API_SEARCH_NEWS` | Search News | Search indexed news articles. Provide at least one anchor filter: text, source country, language, news sources, authors, categories, entities, or location. Date, sentiment, and text-match fields only refine an anchored search. Returns one offset page and costs 1 point plus 0.01 points per returned article; Free accounts can search about one month of history. |
| `WORLD_NEWS_API_SEARCH_NEWS_SOURCES` | Search News Sources | Search monitored news sources by partial name and report matching source URLs and languages. Costs 1 quota point. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The World news api MCP server is an implementation of the Model Context Protocol that connects your AI agent to World news api. It provides structured and secure access so your agent can perform World news api operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like World news api
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to World news api
- MCPServerStreamableHTTP connects to the World news api MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to World news api tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for World news api
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["world_news_api"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the World news api endpoint
- The agent uses GPT-5 to interpret user commands and perform World news api operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
world_news_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[world_news_api_mcp],
    instructions=(
        "You are a World news api assistant. Use World news api tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- World news api API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with World news api.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for World news api
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["world_news_api"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    world_news_api_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[world_news_api_mcp],
        instructions=(
            "You are a World news api assistant. Use World news api tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with World news api.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You've built a Pydantic AI agent that can interact with World news api through Composio's Tool Router. With this setup, your agent can perform real World news api actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + World news api for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build World news api MCP Agent with another framework

- [Claude Code](https://composio.dev/toolkits/world_news_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/world_news_api/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/world_news_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/world_news_api/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/world_news_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/world_news_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/world_news_api/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/world_news_api/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/world_news_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/world_news_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/world_news_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/world_news_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/world_news_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/world_news_api/framework/crew-ai)
- [AutoGen](https://composio.dev/toolkits/world_news_api/framework/autogen)

## Related Toolkits

- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Ahrefs MCP](https://composio.dev/toolkits/ahrefs_mcp) - Ahrefs MCP is Ahrefs' hosted MCP server for SEO data and insights. Use it to access backlinks, organic metrics, keyword research, and competitor analysis.
- [Akta](https://composio.dev/toolkits/akta) - Akta is a company intelligence platform providing enrichment, news, and alternative business signals. It helps teams build targeted company lists and enrich data-driven workflows.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.
- [Amplitude MCP](https://composio.dev/toolkits/amplitude_mcp) - Amplitude MCP is Amplitude's product analytics service for tracking user behavior and product metrics. Use it to centralize product data and manage charts, dashboards, cohorts, experiments, and taxonomy.
- [Audioscrape MCP](https://composio.dev/toolkits/audioscrape_mcp) - Audioscrape MCP lets agents search and retrieve speaker-attributed audio, transcripts, entities, and citations from public and workspace content. Use it to surface searchable, speaker-labeled audio and rich metadata for research, meetings, and content discovery.
- [Baremetrics](https://composio.dev/toolkits/baremetrics) - Baremetrics is a subscription analytics platform for recurring-revenue businesses. It helps teams track MRR, churn, customers, and revenue trends in one place.
- [Bing Webmaster Tools](https://composio.dev/toolkits/bing_webmaster_tools) - Bing Webmaster Tools is Microsoft's search console for site performance, crawling, indexing, URL submission, and verified site management. It helps site owners understand Bing Search visibility and fix issues that affect organic traffic.
- [Bread & Butter](https://composio.dev/toolkits/bread_butter) - Bread & Butter is a lead-intelligence and identity platform for website visitor tracking, user profiles, attribution, authentication, and conversion workflows. It helps teams understand who is visiting, where leads come from, and how users convert.
- [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools.
- [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.
- [BSC Designer](https://composio.dev/toolkits/bsc_designer) - BSC Designer is a strategy execution platform for balanced scorecards, KPIs, dashboards, and strategy maps. It helps teams turn goals into measurable performance plans they can track over time.
- [Chameleon](https://composio.dev/toolkits/chameleon) - Chameleon is a product adoption platform for building in-app experiences, managing customer data, and analyzing user engagement. It helps teams improve onboarding, feature discovery, and product adoption with targeted user experiences.
- [Chartly](https://composio.dev/toolkits/chartly) - Chartly renders Chart.js configurations as PNG or SVG images and creates permanent chart URLs for sharing and embedding. Share and embed charts easily with stable image URLs and downloadable vector graphics.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and World news api MCP?

With a standalone World news api MCP server, the agents and LLMs can only access a fixed set of World news api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from World news api and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right World news api tools.

### Can I manage the permissions and scopes for World news api while using Tool Router?

Yes, absolutely. You can configure which World news api scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your World news api data and credentials are handled as safely as possible.

---
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