Listclean MCP for AI. Keep your mailing list clean, every time.

Q: How do I use verifysingleemail with Listclean MCP Server?

Just ask your agent to run verifysingleemail and give it the email address. The agent returns a clear status: 'Clean,' 'Dirty,' or 'Risky.' It's instant validation.

Q: What is the limit for verifybatchemails?

The maximum recommended size for verifybatchemails is 3,000 emails per request. This allows you to handle large list imports efficiently in one call.

Q: How do I check if I have enough credits with Listclean MCP Server?

Use the checkaccountcredits tool. The agent will report your current remaining verification quota, so you never run out of service in the middle of a campaign.

Q: Can getverificationlogs retrieve data for all my emails?

No; getverificationlogs only retrieves logs for previously verified single emails. It's useful for auditing specific, individual checks you ran before.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Listclean connects your AI agent to a professional email verification API. It checks if emails are real, disposable, or junk in real-time or across large lists.

You can use it to validate individual addresses instantly (`verify_single_email`), process up to 3,000 emails at once (`verify_batch_emails`), and check your account status with `check_account_credits`.

This tool keeps your contact list clean so your campaigns actually land.

What your AI can do

Verify batch emails

Validates multiple email addresses in one request; the maximum size is 3,000 per batch.

Check account credits

Checks your remaining verification credits count in Listclean.

Get verification logs

Pulls a log of previously verified single email addresses for review.

+ 2 more capabilities included

Validate Single Emails

The agent checks one email address instantly to see if it's safe for sending.

Process Email Batches

You run a large group of emails (up to 3,000) through the tool at once.

Check Account Credits

The agent tells you exactly how many verification credits are left on your account.

Get Account Details

You retrieve basic information and profile details associated with the Listclean account.

Review Validation History

The agent fetches logs showing all previously verified single email addresses.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

Listclean MCP Server: 5 Tools for Data Hygiene

Run validation, check credits, and pull logs using all five tools—all from a single natural language interface.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Listclean on Vinkius

Verify Batch Emails

Validates multiple email addresses in one request; the maximum size is 3,000 per batch.

Check Account Credits

Checks your remaining verification credits count in Listclean.

Get Verification Logs

Pulls a log of previously verified single email addresses for review.

Get Account Profile

Retrieves general details about the connected Listclean account profile.

Verify Single Email

Checks a single email address instantly to confirm its validity and risk level.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Listclean integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "listclean": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Listclean tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"listclean": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Listclean, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Listclean. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Cleaning email lists shouldn't feel like a full-time job.

Today, cleaning contact data is manual friction. You download a list; you copy addresses into external tools; you wait for the results to come back in CSV format; then you spend hours cross-referencing which ones are safe and which ones will bounce. The whole thing involves clicking across three different platforms just to get one answer: Is this email address real?

With Listclean MCP, that complexity vanishes. You ask your agent to audit the list. It calls `verify_batch_emails`, handles the API communication, and gives you a clean breakdown right in the chat—telling you exactly which addresses are good, bad, or disposable. The result is immediate data confidence.

Listclean MCP Server: Validate emails directly from your agent.

Before Listclean, if a team member wanted to verify just one tricky lead, they had to switch context to an external site. If they needed 50 leads checked? They'd have to manually queue them up or write complex scripts. The process was always separated from the actual writing/selling workflow.

Now, it’s integrated. Your agent sees your intent—'Validate this list.' It calls `verify_batch_emails` seamlessly in the background and delivers the validated results right where you are working. You never have to leave the conversation.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

What your AI can actually do with this

You connect your AI agent to Listclean; it’s basically an email hygiene API that checks if the emails you're sending actually exist. This server lets your agent validate addresses and scrub lists without you ever having to write a single line of verification code. You keep your contact list clean so your campaigns don't bounce off dead ends.

Processing Email Batches: Scale Your Cleaning Effort

When you need to check a massive amount of contacts, use the verify_batch_emails tool. It takes up to 3,000 email addresses in one request and checks them all at once. This is your go-to for processing whole lists before a major send. The server tells you exactly how many emails pass validation versus how many are disposable or junk.

You'll get an instant count of the bad apples so you know what to cut out.

Validate Single Emails: Instant Checks

Got one address you need to trust? Use verify_single_email. This tool checks a single email instantly, telling you if it’s valid and giving you an idea of the risk level. It's perfect for validating addresses right inside your workflow as they come in.

Account Management: Keeping Track of Your Stuff

Running these tools costs credits, so you gotta know where you stand. Use check_account_credits to see exactly how many verification credits are left on your account before you start a big job. For general background info, get_account_profile retrieves the basic details about the Listclean account connected to your agent. If you need to look back at what you’ve already checked, get_verification_logs pulls a log of every single email address that was previously verified.

How Your Agent Uses This

Your AI client handles all the heavy lifting. You just tell your agent, 'Check this list.' The agent knows to call verify_batch_emails, process the results—saying you’ve got 80% clean emails and 15% that are catch-alls—and report it straight back to you. If you only have one address, the agent calls verify_single_email so you get an immediate pass/fail status.

You never touch the API keys; your agent does the work.

It’s designed for efficiency: The tools keep running in a loop, letting your agent check credits with check_account_credits, then pulling profile details via get_account_profile before finally sending the list to verify_batch_emails. If you need to review the results later, it'll pull those logs using get_verification_logs, all while making sure every single email address is validated first by verify_single_email or in bulk through verify_batch_emails.

Built · Hosted · Managed by Vinkius Listclean MCP Server - Verify Email Lists in Bulk

Server ID 019d75c8-7c71-729f-a345-4178106cec88

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Here's how it actually works

The bottom line is: You talk to your AI client in plain English, and it handles connecting to Listclean and getting you structured, accurate results.

First, subscribe to the Listclean MCP Server and plug in your API key (X-Auth-Token).

Next, ask your AI client to perform a validation task—for example, 'Verify this list of emails.'

The agent executes the appropriate tool (verify_batch_emails or verify_single_email) using your credentials and reports the clean data back.

Who is this actually for?

This is for anyone who sends emails at scale. If your campaign bounce rate spikes because of dirty leads, you need this. It's built for the Marketing Ops Engineer tired of manually cleaning lists, the SDR who needs to vet a prospect right before calling, and the Data Analyst building reliable data pipelines.

Marketing Operations Manager

Runs weekly list audits using verify_batch_emails to ensure marketing segmentation groups only contain high-deliverability addresses.

Sales Development Rep (SDR)

Uses the agent to instantly check a prospect's email address with verify_single_email before sending an introductory message, cutting down on immediate bounces.

Growth Engineer

Integrates validation logic directly into internal tools using the MCP server, logging results via get_verification_logs for compliance checks.

What Changes When You Connect

Stop lost messages. By using verify_single_email before sending a critical email, you ensure the address is active. You cut down on bounce rates instantly.

Scale validation without pain. Instead of running lists through expensive external tools, use verify_batch_emails. It processes up to 3,000 emails in one go—fast and efficient.

Know your data quality. The server identifies catch-all or disposable emails. This knowledge lets you filter out garbage addresses before they hurt your sender reputation.

Maintain compliance visibility. Use get_verification_logs to build a clear record of who was verified, when, and what the status was. Great for audits.

Manage costs easily. Before running big jobs, always use check_account_credits to see your remaining quota. No surprise bills.

See it in action

01 01

Pre-Sending Campaign Clean-up

A marketer gets a huge list from a trade show. They don't want their campaign bounce rate ruined by bad data. Instead of manually cleaning the spreadsheet, they ask their agent to run verify_batch_emails on the whole dump. The agent reports back: 'You can safely send to 78% of this list; filter out the rest.' Problem solved.

02 02

Vet a Single Lead Before Outreach

An SDR gets a prospect's email address from LinkedIn. They aren't sure if it’s real or fake. Instead of guessing, they use verify_single_email through their agent. The agent instantly confirms: 'This is Clean (valid email). Go ahead and send the cold outreach.' Immediate action taken.

03 03

Auditing Data Pipelines

A growth engineer needs to prove that all data coming into a new CRM system was clean. They use get_verification_logs via their agent, pulling up historical records of validation checks to satisfy the compliance team.

04 04

Checking API Limits

A developer is building an automated reporting tool and needs to make sure they have enough credits for a large test run. They ask the agent to call check_account_credits first, avoiding failure mid-script.

The honest tradeoffs

Manual Spreadsheet Validation

Anti-pattern

Copying 100 emails into a paid online checker one by one. This is slow; it costs time and often hits rate limits because you're doing it outside of an automated system.

The Fix

Use verify_batch_emails. Pass the list directly to your AI agent, which handles the high-volume API call for you. It's faster, better scaled, and keeps everything in one workflow.

Sending without checking credits

Anti-pattern

Running a massive validation job right before the end of the month only to find out you have zero remaining verification credits.

The Fix

Always check your status first. Call check_account_credits before starting any major batch process. This prevents service interruption and keeps development flowing.

Assuming data integrity

Anti-pattern

Sending a critical email to an address that might be 'catch-all' or on a disposable domain, only to get nothing back.

The Fix

Use verify_single_email for every high-priority outreach. This confirms the mailbox exists and is actively monitored, making your message actually land.

When It Fits, When It Doesn't

Use this server if data quality is a core part of your process—specifically, email deliverability. You need it when you must know before sending whether an address is clean, disposable, or junk. If your workflow involves list building, lead vetting, or high-volume email marketing, Listclean is essential. Don't use this if your only goal is to store lists; for that, a standard database is fine. But if you need the assurance of data integrity—the ability to classify and validate emails using verify_batch_emails or verify_single_email—this tool saves you time and money by preventing bounces.

Questions you might have

How do I use verify_single_email with Listclean MCP Server? +

Just ask your agent to run verify_single_email and give it the email address. The agent returns a clear status: 'Clean,' 'Dirty,' or 'Risky.' It's instant validation.

What is the limit for verify_batch_emails? +

The maximum recommended size for verify_batch_emails is 3,000 emails per request. This allows you to handle large list imports efficiently in one call.

How do I check if I have enough credits with Listclean MCP Server? +

Use the check_account_credits tool. The agent will report your current remaining verification quota, so you never run out of service in the middle of a campaign.

Can get_verification_logs retrieve data for all my emails? +

No; get_verification_logs only retrieves logs for previously verified single emails. It's useful for auditing specific, individual checks you ran before.

How do I set up my account credentials for the Listclean server using get_account_profile? +

You must pass your unique API Key (X-Auth-Token) when initializing the connection. The get_account_profile tool validates this key, ensuring your AI client is authorized to run checks and access credit balances.

What validation statuses does verify_single_email return for bad emails? +

The server returns distinct status flags like 'Disposable,' 'Catch-all,' or 'Risky.' Your AI client reads these specific flags, telling you immediately that the email address is not viable for sending.

If I use verify_batch_emails too frequently, will there be rate limits? +

Yes, excessive requests can trigger temporary rate limiting. Your agent should detect this and automatically retry the batch operation after a short delay to maintain service continuity.

What specific data points are tracked when I use get_verification_logs? +

The logs record three key pieces of information: the email checked, the timestamp of the validation, and its final status (Clean, Dirty, or Risky). This lets you audit your entire history.

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? +

Connect to your AI in seconds.

Verify batch emails

Check account credits

Get verification logs

Listclean MCP Server: 5 Tools for Data Hygiene

Make your AI actually useful.

Verify Batch Emails

Check Account Credits

Get Verification Logs

Get Account Profile

Verify Single Email

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Cleaning email lists shouldn't feel like a full-time job.

Listclean MCP Server: Validate emails directly from your agent.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Pre-Sending Campaign Clean-up

Vet a Single Lead Before Outreach

Auditing Data Pipelines

Checking API Limits

The honest tradeoffs

Manual Spreadsheet Validation

Sending without checking credits

Assuming data integrity

When It Fits, When It Doesn't

Questions you might have