What do the statuses 'clean' and 'dirty' mean?

'Clean' means the email address is valid and safe to send. 'Dirty' means the email is invalid, non-existent, or highly likely to bounce.

How many emails can I verify at once?

The `verify_batch_emails` tool supports JSON arrays. It is recommended to keep batches under 3,000 emails per request for optimal performance.

Where do I find my API Key?

Log in to your Listclean dashboard and navigate to Account Settings or Profile to find your unique X-Auth-Token.

Listclean MCP Server for CrewAI 5 tools — connect in under 2 minutes

Name: Listclean
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to Listclean through Vinkius, pass the Edge URL in the `mcps` parameter and every Listclean 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Listclean Specialist",
    goal="Help users interact with Listclean effectively",
    backstory=(
        "You are an expert at leveraging Listclean 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 Listclean "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Listclean MCP Server

Connect your Listclean account to any AI agent to automate your email hygiene and deliverability workflows. This MCP server enables your agent to verify single email addresses instantly, process batch validations, and monitor your verification credits directly from natural language interfaces.

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

Real-time Verification — Instantly check if an email address is clean, dirty, or risky before sending
Batch Processing — Validate large lists of email addresses (up to 3,000 per request) efficiently
History Oversight — Retrieve logs of previously performed single verifications to track your activity
Credit Management — Monitor your remaining verification credits to ensure uninterrupted service
Data Quality Audit — Identify catch-all, disposable, and role-based emails to maintain a high-quality contact list

The Listclean MCP Server exposes 5 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 Listclean to CrewAI via MCP

Follow these steps to integrate the Listclean 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 5 tools from Listclean

Why Use CrewAI with the Listclean MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Listclean 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

Listclean + CrewAI Use Cases

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

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

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

Listclean MCP Tools for CrewAI (5)

These 5 tools become available when you connect Listclean to CrewAI via MCP:

check_account_credits

Check remaining verification credits

get_account_profile

Get account profile details

get_verification_logs

Retrieve logs of previously verified single emails

verify_batch_emails

Maximum recommended size is 3,000 per request. Verify multiple email addresses in one batch

verify_single_email

Requires a single email string. Verify a single email address in real-time

Example Prompts for Listclean in CrewAI

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

"Verify the email address 'test@example.com' in Listclean."

"Show my recent email verification logs."

"How many verification credits do I have left?"

Troubleshooting Listclean MCP Server with CrewAI

Common issues when connecting Listclean 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.

Listclean + CrewAI FAQ

Common questions about integrating Listclean 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.