How to Use the WorldNewsAPI MCP in Pydantic AI
Guaranteed data correctness for news fetching using Pydantic AI validation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WorldNewsAPI MCP to Pydantic AI
Create your Vinkius account to connect WorldNewsAPI to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get reliable top headlines
The `get_top_world_news` tool fetches the best stories based on country and language. Because your output is validated by Pydantic, you know exactly what fields you're getting—no surprises. The data structure is locked down. This eliminates the risk of receiving unexpected or corrupted fields from a messy API response.
Structured content extraction
When you use `extract_news_from_url`, Pydantic validates the returned article body and metadata. If the source site throws back weird XML or missing tags, your agent fails loudly with an error, not silently corrupting your data. Correctness first. This is crucial when reliability matters more than speed.
Type-safe news searching
The `search_world_news` tool searches by keyword or phrase, but the result set passes through Pydantic validation. You get a list of articles where every field—title, summary, source—is guaranteed to match your defined model schema. It's peace of mind knowing that what you receive is exactly what you expected.
Set up WorldNewsAPI MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"worldnewsapi-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to WorldNewsAPI tools.",
)
result = await agent.run("List recent WorldNewsAPI transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WorldNewsAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about WorldNewsAPI MCP in Pydantic AI
Use it with your favorite AI tools
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