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 CrewAI 9 tools — connect in under 2 minutes

Name: Siteimprove
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Siteimprove through Vinkius, pass the Edge URL in the `mcps` parameter and every Siteimprove tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Siteimprove Specialist",
    goal="Help users interact with Siteimprove effectively",
    backstory=(
        "You are an expert at leveraging Siteimprove tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Siteimprove "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Siteimprove becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Siteimprove tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Siteimprove MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Siteimprove

Why Use CrewAI with the Siteimprove MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Siteimprove through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Siteimprove + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Siteimprove for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Siteimprove, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Siteimprove tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Siteimprove against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Siteimprove MCP Tools for CrewAI (9)

These 9 tools become available when you connect Siteimprove to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Siteimprove + CrewAI FAQ

Common questions about integrating Siteimprove MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.