Send and manage emails through Mailtrap with analytics, contacts, and sandbox testing. For developers integrating email delivery, testing, and contact management into AI workflows.
io.github.pijusz/mcp-mailtrap
Local install
STDIO
No auth required
How models use it and what it is built for.
Send and manage emails through Mailtrap with analytics, contacts, and sandbox testing. For developers integrating email delivery, testing, and contact management into AI workflows.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Pijusz MCP Mailtrap.
Paste any of these into Agent Studio after connecting Pijusz MCP Mailtrap.
Common questions about connecting and running Pijusz MCP Mailtrap.
What can I do with this Mailtrap MCP server?
You can send emails, view analytics, manage contacts, and test emails in a sandbox environment. It connects Claude or other AI tools directly to your Mailtrap account via the MCP protocol.
How do I authenticate with Mailtrap?
The server uses environment variables for authentication (check the install command and registry metadata for required API keys). You'll need valid Mailtrap credentials configured before connecting the MCP server.
Can I use this for production email sending?
Yes, Mailtrap supports both sandbox testing and production sending. The MCP server exposes both capabilities, so you can test safely in sandbox mode before sending real emails.
What's the difference between this and sending emails directly via SMTP?
This MCP server lets you manage Mailtrap features (analytics, contacts, sandbox) through natural language in an AI chat, rather than writing code. It's designed for AI-assisted email workflows, not direct application integration.
Do I need a Mailtrap account to use this?
Yes, you need an active Mailtrap account with API credentials. The MCP server is a bridge to Mailtrap's platform, not a standalone email service.
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