Can my AI automatically detect accessibility barriers on newly crawled pages?

Yes. Ask the agent to list the accessibility issues for a specific Site ID. It pulls from Siteimprove's latest crawls to pinpoint exact violations (e.g., missing alt text, ARIA label failures), so you can remediate them before the next audit cycle.

How do I easily fix broken links without searching them all manually?

Ask your agent to 'list all broken links' on the site. Instead of manually parsing reports, your AI will list the exact origin page where the broken link exists, plus the broken destination URL. You can use this checklist to rapidly go through your CMS and fix them.

Can my agent give me a quick health summary of my domain?

Absolutely. Request the 'Digital Certainty Index (DCI) summary' for your site. The agent instantly pulls your overall Quality Assurance score, SEO health, and Accessibility compliance rating, which is perfect for generating a quick weekly status report.

Siteimprove MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Siteimprove
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Siteimprove through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Siteimprove "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Siteimprove MCP Server

Connect your Siteimprove account to any AI agent to automatically pull website quality scores, accessibility issues, and SEO metrics into your workspace. Turn raw analytics into actionable insights without leaving your chat.

Pydantic AI validates every Siteimprove tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Digital Certainty Index (DCI) — Get a high-level summary of a site's overall quality, accessibility, and SEO health
Accessibility (A11y) — List specific technical accessibility barriers that are causing compliance drops
Site Quality Assurance (QA) — Identify broken links, misspellings, and readability metrics across all crawled pages
SEO Oversight — Retrieve technical SEO errors that are impacting your search engine rankings
Fleet Management — List all monitored sites and browse individual crawled pages

The Siteimprove MCP Server exposes 9 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 Siteimprove to Pydantic AI via MCP

Follow these steps to integrate the Siteimprove 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 9 tools from Siteimprove with type-safe schemas

Why Use Pydantic AI with the Siteimprove MCP Server

Pydantic AI provides unique advantages when paired with Siteimprove 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 Siteimprove integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Siteimprove connection logic from agent behavior for testable, maintainable code

Siteimprove + Pydantic AI Use Cases

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

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

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

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

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

Siteimprove MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Siteimprove to Pydantic AI via MCP:

get_accessibility_summary

Retrieves the accessibility health overview for a site

get_qa_summary

Retrieves the Quality Assurance (QA) health overview for a site

get_seo_summary

Retrieves the SEO health overview for a site

get_site_details

Retrieves details for a specific site

get_site_summary

Retrieves the Digital Certainty Index (DCI) overview for a site

list_accessibility_issues

Lists specific accessibility issues discovered on a site

list_broken_links

Lists all broken links found on a specific site

list_crawled_pages

Lists all crawled pages for a specific site

list_sites

Lists all monitored websites in Siteimprove

Example Prompts for Siteimprove in Pydantic AI

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

"List all monitored sites in my Siteimprove account."

"Get the latest accessibility issues for site 1547844111."

"What is the DCI Summary score for my main domain?"

Troubleshooting Siteimprove MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Siteimprove + Pydantic AI FAQ

Common questions about integrating Siteimprove MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Siteimprove MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.