How do I get an EmailListVerify API Key?

Log in to your EmailListVerify account, navigate to **API** section in your dashboard, and you can generate or retrieve your unique API Key (secret) from there.

Can the agent upload new files for verification?

This integration currently focuses on verifying single emails and auditing existing jobs. Uploading new large CSV or TXT files for bulk verification should be managed via the EmailListVerify web portal.

What does 'disposable email' mean in the results?

Disposable emails are temporary addresses often used to bypass registration forms. EmailListVerify identifies these so you can keep your marketing lists high-quality and long-lasting.

EmailListVerify MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: EmailListVerify
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to EmailListVerify through Vinkius, pass the Edge URL in the `mcps` parameter and every EmailListVerify 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="EmailListVerify Specialist",
    goal="Help users interact with EmailListVerify effectively",
    backstory=(
        "You are an expert at leveraging EmailListVerify 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 EmailListVerify "
        "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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About EmailListVerify MCP Server

Integrate EmailListVerify, the powerful bulk email verification platform, directly into your AI workflow. Verify individual email addresses for deliverability, manage large-scale verification jobs and files, monitor real-time processing statuses, and oversee your verification credits using natural language.

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

Single Verification — Instantly verify a single email address, resolving MX records, SMTP connection checks, and identifying disposable emails.
Bulk Job Oversight — List and retrieve detailed status and results for all your uploaded email verification files.
Credit Management — Access real-time credit balance information and remaining organizational quotas for email verification.
Verification Auditing — Retrieve high-level summaries of processing activity, success rates, and identified invalid email patterns instantly.

The EmailListVerify 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 EmailListVerify to CrewAI via MCP

Follow these steps to integrate the EmailListVerify 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 EmailListVerify

Why Use CrewAI with the EmailListVerify MCP Server

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

EmailListVerify + CrewAI Use Cases

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

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

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

EmailListVerify MCP Tools for CrewAI (9)

These 9 tools become available when you connect EmailListVerify to CrewAI via MCP:

get_emaillistverify_metadata

Retrieve metadata and settings for your EmailListVerify account

get_remaining_credits

Retrieve the number of remaining verification credits in your account

get_verification_job_status

invalid addresses. Get the current status and results summary for a specific bulk verification job

list_in_progress_verification_jobs

Identify bulk verification jobs that are currently in the processing queue

list_latest_verification_jobs

Identify the most recently uploaded email verification files

list_successfully_processed_files

Identify bulk verification jobs that have finished processing

list_verification_jobs

List all bulk email verification files/jobs in your account

quick_verification_health_audit

Retrieve a high-level summary of verification activity and success rates

verify_single_email

Verify a single email address for deliverability

Example Prompts for EmailListVerify in CrewAI

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

"Verify if 'test@example.com' is a valid email address."

"Show me the status of our last 5 verification jobs."

"How many verification credits do I have left?"

Troubleshooting EmailListVerify MCP Server with CrewAI

Common issues when connecting EmailListVerify 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.

EmailListVerify + CrewAI FAQ

Common questions about integrating EmailListVerify 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.