MailerCheck MCP. Stop wasting messages on invalid or junk emails.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
MailerCheck lets you verify email addresses in real-time or for massive lists. Use the MailerCheck MCP Server to check if an inbox is valid, risky, or totally junk before you send anything.
It handles quick single checks and big batch uploads, letting your AI agent keep your sender reputation high.
What your AI agents can do
Create verification batch
Uploads a list of emails that need validation in the background.
Get account info
Retrieves your current account details and remaining verification credit count.
Get batch results
Fetches the detailed results for a specific, completed batch ID.
Run an instant check on one specific email string to determine its current validity.
Send large datasets of emails for background validation, so you don't have to wait around.
Retrieve the final status and breakdown (valid, risky, invalid) for a specific verification job.
Pull a list of all your recent validation batches so you know what data is waiting to be checked.
Get an audit report showing current user information and remaining API usage credits.
Ask AI about this MCP
Supported MCP Clients
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MailerCheck MCP Server: 5 Tools for Deliverability
These tools let your agent manage every step of email validation, from single checks to processing huge, dirty datasets.
019d75cccreate verification batch
Uploads a list of emails that need validation in the background.
019d75ccget account info
Retrieves your current account details and remaining verification credit count.
019d75ccget batch results
Fetches the detailed results for a specific, completed batch ID.
019d75cclist verification batches
Provides a list of all recent email validation jobs run on your account.
019d75ccverify single email
Checks one specific email address instantly to see if it's valid for sending.
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
Make Your AI Do More
Start with MailerCheck, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You gotta keep your sender reputation clean. That’s the whole game here—you don't wanna send messages to junk inboxes or addresses that are already marked as risky. This server lets your AI client check every single email, whether you got one contact or a million names on a spreadsheet.
Checking One Email Right Now
Need to know if an address is good before hitting send? Use the verify_single_email tool. It checks that specific string instantly, telling you right away if it's valid for sending mail. You get immediate confirmation on whether that inbox is live and ready for your outreach.
Processing Big Lists in the Background
When you’re dealing with a whole list—say, thousands of emails—you don't wanna wait around. Just fire up create_verification_batch. You upload that massive spreadsheet, and the server handles the validation work for you in the background. It gets all those addresses processed without bogging down your workflow. The job runs asynchronously, so you can keep doing other stuff while we check the data.
Tracking Your Validation Jobs
Once you drop a big batch, you gotta know where it stands. First, run list_verification_batches to pull up a list of every validation job you’ve ever started. That gives you all the recent batch IDs—the whole history log—so you can see exactly what data is waiting for review or what's already done.
When you find the specific job ID you need, use get_batch_results. This tool pulls out the full breakdown for that particular run. It shows you detailed status reports: which emails passed (valid), which ones are suspicious (risky), and why any of them failed completely (invalid). You don't just get a count; you get the technical reason codes explaining the failure.
Managing Your Account Credits
Keep an eye on your usage. Use get_account_info to pull up a full audit report. It gives you current user details and, most importantly, it tells you how many verification credits you’ve got left. That way, you never run into a wall because you thought you had more juice than you did.
It's a complete loop: You check single addresses instantly with verify_single_email. Then, if you're running a campaign, you upload the whole damn list using create_verification_batch. When it’s done, you grab all your jobs with list_verification_batches, pull the final stats for that specific batch ID using get_batch_results, and check your remaining juice with get_account_info.
You'll never have to worry about bad emails holding up a campaign again.
How MailerCheck MCP Works
- 1 Subscribe to the server and provide your MailerCheck API Token.
- 2 Tell your AI agent what you want to do—for example, 'Verify this list of leads' or 'Check my account credits'.
- 3 The server runs the necessary tool (e.g.,
create_verification_batch), processes the data, and gives your agent back the actionable results.
The bottom line is you use natural language to trigger structured API calls that clean up messy email lists.
Who Is MailerCheck MCP For?
Marketing Ops Engineers who deal with dirty contact databases. Sales Directors whose outreach teams need to minimize bounce rates. Growth Leads managing large, evolving lead pools. If your job involves sending emails at scale, you need this.
Runs periodic batch checks on old mailing lists to remove bounces and junk before major campaigns.
Verifies a prospect's email address instantly when they find a new lead, ensuring the outreach attempt actually lands.
Uses list_verification_batches and get_batch_results to audit data quality across different source exports for compliance reporting.
What Changes When You Connect
- Avoid send failures right away. Use
verify_single_emailto check a lead's address instantly before your agent sends the first message, minimizing immediate bounce rates. - Handle massive list cleanup without manual effort. Send huge datasets via
create_verification_batch, and let the server run the validation in the background for you. - Audit data quality easily. After a big batch runs, use
get_batch_resultsto pull detailed reports, including reason codes for every invalid email. - Keep track of everything. Use
list_verification_batchesto see all your recent jobs and confirm that the bulk cleanup you needed ran successfully. - Monitor usage limits. Run
get_account_infoanytime to check how many credits are left, so you never hit an API wall when scaling up.
Real-World Use Cases
Cleaning a stale CRM export
A data analyst exports 10,000 emails from the old CRM. Instead of manually checking them, they ask their agent to run create_verification_batch on the whole list. Later, they use get_batch_results to pull a clean file containing only valid addresses.
Outreach during live sales calls
An SDR gets a new contact's email address on a call. They immediately prompt their agent: 'Check this email.' The agent runs verify_single_email and instantly confirms the address is valid, allowing the SDR to send a follow-up without hesitation.
Auditing campaign success
The marketing manager wants to know how many leads were cleaned last week. They ask their agent to run list_verification_batches. This shows the job ID, and they then use get_batch_results on that specific ID for a final count.
Scaling up validation capacity
A growth engineer needs to process 5 different lead sources. They run five separate batches using create_verification_batch, and then use get_account_info periodically to make sure they have enough credits for all the work.
The Tradeoffs
Assuming single checks cover bulk data
Trying to check 500 emails by calling verify_single_email 500 times in a row. This is slow, hits rate limits quickly, and wastes credits.
→
For any list over ten addresses, always use create_verification_batch. This uploads the whole group for background processing and handles the volume for you.
Confusing batch listing vs. results
After running a job, asking for 'the results' without specifying which one or what ID to check.
→
First, run list_verification_batches to get the most recent Batch ID. Then, use that exact ID when you call get_batch_results.
Ignoring account limits
Running a massive batch job without checking if the account has sufficient credits first.
→
Always start by calling get_account_info. This confirms your credit balance and user status before you commit to any large, expensive operation.
When It Fits, When It Doesn't
Use this server if your core problem is email deliverability—you need to know if an email address can actually receive mail. Use verify_single_email when the check needs to happen immediately (e.g., in a chat interaction). Use create_verification_batch when you have a list of 10+ emails and don't mind waiting minutes for background processing. Never use this if your problem is verifying domain ownership or checking physical mailing addresses; that requires different tools entirely. Always check get_account_info before running any large batch job to avoid hitting credit limits.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailerCheck. 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
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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
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 server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually cleaning up contact lists sucks time.
Today, if you get a new lead list from an old system, you manually check the first twenty emails. You find three bounces, copy those into a spreadsheet, and then ask your coworker to validate the next hundred. It's tedious, error-prone, and you waste half a day just cleaning data.
With this MCP server, you simply tell your agent: 'Clean up these 5,000 emails.' The agent runs `create_verification_batch`. You get a job ID back, and when it's done, the results are ready for you to download. Done.
MailerCheck MCP Server: Get validated data from one query.
Before this tool, if you wanted a quick check, you had to use a dedicated web form. If you needed bulk results, you had to run a separate API script and manage the job IDs manually. It was fragmented.
Now, your agent handles it all. Whether you need `verify_single_email` for an instant answer or `get_batch_results` for historical data, everything is accessible via natural language commands.
Common Questions About MailerCheck MCP
How do I check if my account has enough credits using MailerCheck? +
Run the get_account_info tool. This immediately returns your current user details and how many verification credits you have remaining, letting you plan for large jobs.
Can I use MailerCheck to check a single email address? +
Yes, just run verify_single_email. It gives instant feedback on whether the provided email string is valid or invalid for sending right now.
What's the difference between list_verification_batches and get_batch_results? +
list_verification_batches shows you a list of all your past jobs (the job titles/IDs). get_batch_results is what you run after finding a specific ID from that list, giving you the actual data.
How do I process 10,000 emails for validation? +
You must use create_verification_batch. This tool accepts your large file upload and queues the job. You'll then wait and later check progress using get_batch_results.
How do I view the detailed history of my verification jobs using list_verification_batches? +
You use list_verification_batches to pull a record of all past jobs. This tool gives you technical metadata for every batch, letting you track job IDs and statuses even if you don't need the final results right away.
What happens if I try to verify an email with incorrect formatting using verify_single_email? +
The system returns a specific error code, telling you exactly why the address failed verification. This immediate feedback helps developers write better validation logic right away.
Can my AI agent handle very large lists of emails when using create_verification_batch? +
Yes, create_verification_batch is designed for bulk uploads and asynchronous processing. It accepts large datasets and tracks progress until all validations are complete.
Do I need to worry about API rate limits when calling verify_single_email frequently? +
The platform manages standard rate limiting, but you should monitor your account usage metrics. If you anticipate high volume, check the documentation for bulk processing recommendations.
What is the accuracy of MailerCheck verification? +
MailerCheck uses advanced multi-layer checks including syntax, DNS, and SMTP handshake to provide highly accurate results categorized into valid, risky, and invalid.
Can I verify large lists of emails? +
Yes, use the create_verification_batch tool to upload a JSON array of email addresses. You can then monitor the progress and retrieve results once completed.
How do I check my remaining credits? +
Use the get_account_info tool to retrieve your profile details and the current balance of verification credits in your account.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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