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Diffbot 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 Diffbot 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 Diffbot "
            "(10 tools)."
        ),
    )

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

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

Connect your Diffbot account to any AI agent and take full control of your automated web data extraction through natural conversation.

Pydantic AI validates every Diffbot 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

  • Automated Page Classification — Use the Analyze API to automatically determine if a page is an article, product, or list and extract structured data natively
  • Article Extraction — Extract news, blog, or article content into clean HTML and plain text, identifying authors, dates, and categorical classifications limitlessly
  • E-commerce Intelligence — Capture structured product details including precise pricing, brand mappings, SKU, and specifications across any web boundary
  • Media & Social Auditing — Extract primary images and embedded video metadata, or analyze forum threads and reviews with automated sentiment scoring
  • List & Search Scraping — Identify bounded directories and search results on any page to extract arrays of item titles and links strictly
  • Job Posting Analysis — Retrieve explicitly mapped job titles, employers, and salary vectors from recruitment pages to monitor market trends
  • Custom Rule Execution — Execute user-defined custom extraction logic by bridging raw URLs to your trained Diffbot dashboard rulesets

The Diffbot 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 Diffbot to Pydantic AI via MCP

Follow these steps to integrate the Diffbot 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 Diffbot with type-safe schemas

Why Use Pydantic AI with the Diffbot MCP Server

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

Diffbot + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Diffbot MCP Tools for Pydantic AI (10)

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

01

analyze_page

Diffbot uses ML to determine if the page is an article, product, image, video, event, list, or job, and returns the appropriate structured JSON. Excellent generalized entry point. Automatically classify and extract page data using Diffbot Analyze API

02

extract_article

Pass optional discussion=false to skip extracting comments. Extract news, blog, or article content using Diffbot Article API

03

extract_custom_api

Diffbot will extract data according to your custom ruleset. Extract using a user-defined custom Diffbot API

04

extract_discussion

Extract forum threads, reviews, or comments using Diffbot Discussion API

05

extract_event

Extract event schedules and details using Diffbot Event API

06

extract_image

Extract main images from a page using Diffbot Image API

07

extract_job

Extract job postings using Diffbot Job API

08

extract_list

Extract lists or search results using Diffbot List API

09

extract_product

Extract e-commerce product details using Diffbot Product API

10

extract_video

Extract video content and metadata using Diffbot Video API

Example Prompts for Diffbot in Pydantic AI

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

01

"Extract the article content from: https://techcrunch.com/2024/01/01/ai-trends"

02

"What is the price and SKU for this product: [E-commerce URL]"

03

"Search for news about 'OpenAI' using: [News List URL]"

Troubleshooting Diffbot MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Diffbot + Pydantic AI FAQ

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

Connect Diffbot to Pydantic AI

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