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The Guardian 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 The Guardian 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 The Guardian "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
The Guardian
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* 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 The Guardian MCP Server

Connect to The Guardian Open Platform and unlock programmatic access to one of the world's most respected newsrooms through natural conversation.

Pydantic AI validates every The Guardian 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

  • Content Search — Run full-text queries across the entire Guardian archive with filters by section, tag, date range, and custom ordering
  • Article Retrieval — Fetch the complete body text, byline, publication date, and editorial metadata for any individual article
  • Section Browsing — List all editorial sections (e.g. Technology, Politics, Sport) and browse their latest or most-viewed content
  • Tag Discovery — Explore the taxonomy of keywords, contributors, series, and tones used to categorize Guardian journalism
  • Regional Editions — Query content across UK, US, Australia, and International editions
  • Date-Range Research — Retrieve articles published within specific time windows for historical analysis or event tracking

The The Guardian 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 The Guardian to Pydantic AI via MCP

Follow these steps to integrate the The Guardian 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 The Guardian with type-safe schemas

Why Use Pydantic AI with the The Guardian MCP Server

Pydantic AI provides unique advantages when paired with The Guardian 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 The Guardian 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 The Guardian connection logic from agent behavior for testable, maintainable code

The Guardian + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

The Guardian MCP Tools for Pydantic AI (10)

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

01

get_item

g. "world/2026/apr/08/example-article"). Get the full content of a specific Guardian article or item

02

get_latest_content

Ordered by most recent first. Get the most recent articles from The Guardian

03

get_section_details

Get editorial highlights and most-viewed content for a section

04

list_editions

List available Guardian regional editions

05

list_sections

g. technology, politics, sport). Optionally filter by name. List all editorial sections available on The Guardian

06

list_tags

Filter by query, section, or tag type (keyword, series, contributor, tone, type, blog). List tags used to categorize Guardian content

07

search_by_date_range

Useful for historical research or tracking recent events. Search Guardian content within a specific date range

08

search_by_section

g. "technology", "world", "sport"). Supports pagination and ordering. Browse content within a specific Guardian section

09

search_by_tag

g. "technology/artificial-intelligence", "tone/features"). Supports pagination. Browse content tagged with a specific Guardian tag

10

search_content

Supports filtering by section, tag, date range, ordering, and pagination. Search articles and content on The Guardian

Example Prompts for The Guardian in Pydantic AI

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

01

"Search The Guardian for recent articles about artificial intelligence in the technology section."

02

"What are the main editorial sections available on The Guardian?"

03

"Find all Guardian articles about climate change published between January and March 2026."

Troubleshooting The Guardian MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

The Guardian + Pydantic AI FAQ

Common questions about integrating The Guardian 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 The Guardian MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect The Guardian to Pydantic AI

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