Mailinator MCP for AI. Test email flows and validate message delivery.
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Mailinator lets you test email workflows using temporary, disposable inboxes. It catches messages—emails and SMS—without ever touching real addresses or production mailboxes.
You manage everything from browsing message lists to checking webhooks, all through your AI client's conversational tools.
What your AI can do
Remove message
Deletes a specific message from an inbox to keep the testing environment clean.
List message attachments
Gets a list of file names attached to an email message.
Get domain details
Retrieves metadata and configuration details for a specific test domain.
Calls get_message_content to retrieve the complete body, headers, and attachments of any test email.
Uses inject_test_message to simulate an incoming email into a specific disposable inbox for immediate testing.
Lists active webhook configurations and monitors incoming POST requests using list_active_webhooks.
Allows you to list, check, or even delete messages across multiple dedicated test domains via list_private_domains and remove_message.
Calls get_usage_statistics to track API consumption and monitor billing limits for your test environment.
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Mailinator MCP Server: 12 Tools for Message Debugging
Use these tools to list messages, extract links, read content, and manage private domains—all crucial functions for testing automated communication flows.
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 Mailinator on VinkiusRemove Message
Deletes a specific message from an inbox to keep the testing environment clean.
List Message Attachments
Gets a list of file names attached to an email message.
Get Domain Details
Retrieves metadata and configuration details for a specific test domain.
Extract Message Links
Pulls all clickable URLs from the text of an email message.
Get Message Content
Reads the full body, headers, and attachments of an email message in the inbox.
Get Usage Statistics
Checks API usage metrics to monitor rate limits and total calls made.
Inject Test Message
Sends a simulated email directly into a chosen disposable inbox for testing purposes.
List Private Domains
Shows all the custom test domains you have set up for isolated testing environments.
List Inbox Messages
Lists a summary count, subject, and sender for all messages in a specified inbox.
List Routing Rules
Displays all configured email forwarding rules and routing logic for your test...
List Private Sms
Retrieves a list of messages received in your dedicated SMS testing inbox.
List Active Webhooks
Retrieves the list and current status of all configured webhook endpoints.
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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 Mailinator integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailinator. 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.
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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 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Debugging email flows shouldn't feel like digging through a dozen separate dashboards.
Right now, debugging a simple notification failure is a nightmare. You have to jump between your SMTP testing tool, your webhook monitoring service, and your SMS dashboard. Then you copy the unique tracking ID from one screen and paste it into another just to confirm where the message went wrong.
With this MCP server, everything happens in one chat window. Your agent can check `list_private_domains` first, then use `inject_test_message` to recreate the failure, and finally read all the details using `get_message_content`. You get a single, verifiable chain of events.
Mailinator MCP Server: Test every message detail.
Previously, if you needed to see what attachments were included or check the full sender headers (SPF/DKIM), you had to rely on a separate logging system that often missed context. You couldn't easily verify *all* data points in one pass.
Now, `get_message_content` handles it all. It gives you not just the body text, but every header and file attachment alongside it. Your AI client processes this raw data instantly, giving you a complete picture of message integrity.
What your AI can actually do with this
You're testing complex email flows—the kind where a webhook triggers an SMS response, which then requires another follow-up email. You don't want to mess with live accounts or risk sending junk to actual users. This MCP server lets you test all that stuff safely using disposable mailboxes and webhooks.
You connect your AI client to this server, and it gives your agent the tools to handle every step of debugging a messaging sequence. You can pull messages from public inboxes with list_inbox_messages, getting a quick summary count, subject line, and sender for everything that hits the mailbox. When you need the full picture on a specific email, call get_message_content to read the complete body text, check all the headers, and pull out any attached files.
Need to know what's in those attachments? Use list_message_attachments to get a clean list of file names for any message you’re looking at. If an email has clickable links embedded in the text, run extract_message_links, and it pulls out every single URL so your agent can process them.
Want to test how a system reacts when an email drops into a specific staging environment? You'll use inject_test_message to simulate an incoming email right into a disposable inbox for immediate testing. You can also send simulated SMS messages by checking the list of private messages with list_private_sms, or listing out all your dedicated test environments using list_private_domains.
These tools let you manage everything from multiple isolated domains and delete any message that gets in the way—just use remove_message to keep the sandbox clean.
For advanced testing, you'll need to monitor what happens when other services try to talk to your test environment. Use list_active_webhooks to retrieve a list of all configured webhook endpoints and see their current status. If you’re building complex logic for how messages should be handled before they even hit the inbox, check out list_routing_rules, which displays all forwarding settings and routing decisions for your test accounts.
You can also confirm what domains are available to you by calling list_private_domains or see how mail is routed using list_routing_rules.
Don't forget about usage tracking. To monitor API consumption, check the metrics with get_usage_statistics; it tells you exactly how many calls you've made and monitors your rate limits for the entire test environment. You manage every piece of data—from reading headers via get_message_content to confirming a domain exists with list_private_domains, or checking all incoming API traffic through list_active_webhooks.
It’s a complete sandbox for making sure your messaging logic holds up under pressure.
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Here's how it actually works
The bottom line is, you get a conversational interface for managing complex email infrastructure tasks without touching live data.
First, connect your AI client to the Mailinator MCP Server using a valid API token.
Next, prompt your agent with an action (e.g., 'Read the latest message in the QA inbox').
The server executes the tool call (get_message_content), and the result is passed back to your AI client for natural language review.
Who is this actually for?
You need this if you're constantly debugging how external services send messages. It’s built for the QA engineer who can’t rely on staging mailboxes, the developer who needs to validate webhook payloads fast, or the DevOps person monitoring complex routing rules after a deployment.
Uses list_message_attachments and get_message_content to verify that every notification (password reset, invoice receipt) contains the correct data structure.
Tests service interactions by using inject_test_message and checking webhook results via list_active_webhooks, ensuring proper delivery in staging.
Audits email infrastructure by listing rules with list_routing_rules or monitoring domain behavior using get_domain_details across different environments.
What Changes When You Connect
Validate complex email logic. Use inject_test_message to simulate real-world triggers—like a password reset attempt or an order confirmation—and immediately check the results using list_inbox_messages.
See all data in one place. Don't just read the body; use get_message_content to access crucial headers and attachments, letting your agent verify things like SPF/DKIM status automatically.
Manage multiple test accounts. List domains with list_private_domains and switch between isolated environments (e.g., 'staging' vs. 'qa') without affecting production systems.
Debug real-time callbacks. Monitor webhooks using list_active_webhooks. Your agent can confirm if a POST request hit the right endpoint, even if the payload failed.
Clean up your test data. After testing is done, use remove_message to delete specific emails. This keeps your inboxes clean and prevents unnecessary message accumulation.
See it in action
Debugging a payment webhook failure
A developer suspects the Stripe webhook isn't firing correctly. Instead of manually checking logs, they prompt their agent: 'Check for webhooks from Stripe in the last hour.' The agent runs list_active_webhooks and identifies 3 recent POST requests. It then uses get_message_content to verify if a message was generated upon failure.
Validating password reset emails
A QA engineer needs to confirm that the 'Forgot Password' flow works for multiple users. They use list_private_domains to select three distinct test accounts, then run inject_test_message against each one, confirming that all three receive a unique message payload.
Checking SMS alerts from an app
The team needs to confirm 2FA codes are delivered correctly. They ask the agent to check list_private_sms. The agent pulls the latest messages, confirming the sender ID and checking if the message body matches the expected format.
Auditing email forwarding rules
A DevOps team member needs to ensure that critical emails always go to a backup address. They run list_routing_rules to see all configured forwarders and use get_domain_details to verify the source domain's current status.
The honest tradeoffs
Assuming messages are visible.
Just asking, 'Where is the password reset email?' without specifying which account or time frame. The agent can't guess; it needs data inputs.
You must first use list_private_domains to select a test domain and then run list_inbox_messages to narrow down the messages before asking for content.
Testing webhooks manually.
Trying to replicate webhook hits by simply sending an email. This misses critical data like HTTP status codes or payload failures (500 errors).
Always use list_active_webhooks and then review the payloads recorded there. This confirms if your service received the intended POST request, regardless of content.
Over-relying on a single inbox.
Testing only one domain (user.test). If the system fails for users with different setups (e.g., SMS vs email), you'll miss bugs.
Use list_private_domains to identify all required test environments, and then cycle through them using tools like inject_test_message or get_message_content.
When It Fits, When It Doesn't
Use this MCP Server if your job involves validating message delivery across multiple channels (email, SMS, webhooks) in a non-production environment. You need to confirm how an email works, not just that it was sent.
Don't use this if you are trying to check the live status of a real customer account or if your goal is simply reading data from a database record (use a general data retrieval tool for that). If you only care about message content and never need webhook monitoring or SMS testing, you might be over-scoped. But if you deal with any automated communication flow, this toolset provides the necessary depth: From list_inbox_messages (overview) to get_message_content (deep dive), and finally to list_routing_rules (system audit).
Questions you might have
How do I check if my webhook endpoints are working with Mailinator MCP Server? +
Use the list_active_webhooks tool. This shows all your configured webhooks and logs recent attempts, letting you confirm if data is hitting the right endpoint.
Can I check SMS messages using the list_private_sms tool? +
Yes, list_private_sms lets you access dedicated phone number inboxes. This means you can test 2FA or verification code flows alongside regular email testing.
What is the difference between list_inbox_messages and get_message_content? +
list_inbox_messages gives you a quick summary—it lists counts, subjects, and senders. You must use get_message_content to actually read the full body, headers, or attachments.
How do I make sure my test emails don't interfere with real accounts? +
Mailinator uses disposable inboxes and private domains. You use list_private_domains to manage these segregated environments. Nothing you do here touches your production mail.
How do I monitor my API usage and prevent hitting rate limits using `get_usage_statistics`? +
This tool reports your current consumption metrics. It gives you hard counts on request volume, letting you plan for high-volume testing sessions without hitting service limitations.
If an email has attachments, how do I retrieve them using `list_message_attachments`? +
The tool returns metadata and direct download links for all attached files. It's crucial for QA when you need to verify file delivery or test specific MIME types.
Before I start, how can I use `get_domain_details` to verify a domain's metadata? +
This function pulls core technical metadata about your private domains. You confirm if the domain is correctly provisioned and ready for simulated traffic before running full system tests.
Once testing is done, how do I delete old test emails using `remove_message`? +
remove_message lets you target and permanently delete specific messages. This keeps your disposable inboxes clean and prevents data clutter after a long cycle of automated testing.
Can I browse inboxes and read emails? +
Yes. Browse public and private inboxes, read full email content including HTML, headers, and attachments.
How does Mailinator authentication work? +
Mailinator uses a custom Token header for authentication against api.mailinator.com/api/v2.
Can I test SMS messages too? +
Yes. Access SMS inboxes and read SMS messages for phone number-based testing.
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