ABOUT MX LOOKUP

This test will list MX records for a domain in priority order. The MX lookup is done directly against the domain's authoritative name server, so changes to MX Records should show up instantly. You can click Diagnostics , which will connect to the mail server, verify reverse DNS records, perform a simple Open Relay check and measure response time performance. You may also check each MX record (IP Address) against 105 DNS based blacklists . (Commonly called RBLs, DNSBLs)

Are you confident that your email is getting through?

You rely on email for business critical communication, so you need to know your email has been delivered to your customers and you need to know who is sending email on your behalf.

MxToolbox is your expert on email deliverability. Our newest product, MxToolbox Delivery Center, gives you the insight you need to make email configuration changes and get your emails to your customers' inboxes.

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To learn more,

call us at

866-MXTOOLBOX

(+1 866 698-6652).

 

SPF, DKIM and DMARC can be complicated

Let MxToolbox Simplify it for You!

MxToolbox provides you with information on:


Who is sending email purporting to be from your domain


What is the reputation of your domains and delegated IPs


Where other senders are and what their reputations are


How your SPF, DKIM and DMARC setup is performing


What senders are failing DKIM and SPF verification


When to setup more restrictive policies for DMARC

MxToolbox Delivery Center is your comprehensive service for understanding email that has been sent "From" your domain.

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Blacklist Solutions

MxToolbox has the most comprehensive Blacklist monitoring services in the world.

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Delivery Center Plus

Secure your email reputation with Adaptive Blacklist monitoring, Threat Investigation, DMARC, SPF and DKIM compliance and advanced DMARC policy management tools.

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Mailflow Monitoring

Get a complete picture of your mail server performance to anticipate email delays before they affect your customers.

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Bulk Lookups

Run multiple lookups quickly or check logs on a large data set.

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