Is Google.com hosted on green energy?

Yes! Google is a registered green hosting provider in the database. You can use the `check_green_hosting` tool to verify the status of any of its domains.

What does it mean if a site is not green?

It means the hosting provider is either using conventional fossil-fuel-based energy or has not yet registered their renewable energy usage with the Green Web Foundation.

Can I check multiple domains in a single session?

Yes. You can provide a list of domains to your AI agent, and it will call the `check_green_hosting` tool for each one, providing a summarized sustainability report.

Green Web Check MCP Server for CrewAI 1 tools — connect in under 2 minutes

Name: Green Web Check
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 1 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Green Web Check Specialist",
    goal="Help users interact with Green Web Check effectively",
    backstory=(
        "You are an expert at leveraging Green Web Check 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 Green Web Check "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 1 available tools "
        "and what they can do."
    ),
)

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

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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 Green Web Check MCP Server

Equip your AI agent with environmental intelligence through the Green Web Foundation MCP server. This integration provides instant verification of a website's hosting infrastructure. Your agent can check if a specific domain is powered by renewable energy sources based on the world's largest open database of green hosting. Whether you are auditing corporate sustainability, choosing eco-friendly vendors, or researching the environmental impact of the internet, your agent acts as a dedicated sustainability consultant through natural conversation.

When paired with CrewAI, Green Web Check becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Green Web Check 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

Green Check — Verify if any website URL is hosted on a platform using renewable energy.
Provider Insights — Identify the hosting organization and access their official sustainability records.
Sustainability Auditing — Run checks across multiple domains to profile your digital supply chain's carbon footprint.

The Green Web Check MCP Server exposes 1 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 Green Web Check to CrewAI via MCP

Follow these steps to integrate the Green Web Check 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 1 tools from Green Web Check

Why Use CrewAI with the Green Web Check MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Green Web Check 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

Green Web Check + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Green Web Check MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Green Web Check 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 Green Web Check, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Green Web Check 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 Green Web Check against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Green Web Check MCP Tools for CrewAI (1)

These 1 tools become available when you connect Green Web Check to CrewAI via MCP:

check_green_hosting

Check if a website is hosted on green energy

Example Prompts for Green Web Check in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Green Web Check immediately.

"Check if 'vinkius.com' is hosted on green energy."

"Is the hosting for 'amazon.com' environmentally friendly?"

"Which company hosts 'wikipedia.org' and is it green?"

Troubleshooting Green Web Check MCP Server with CrewAI

Common issues when connecting Green Web Check 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.

Green Web Check + CrewAI FAQ

Common questions about integrating Green Web Check 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.