# mailflat-mcp

> mailflat-mcp — mailflat-mailflat-sdks. Use this tool when you need to automate email interactions for testing or agent-based applications, as it provides a permanent email inbox for receiving and sending emails with customizable message retention. It solves problems of email address management and automated email processing, allowing for seamless integration with test suites or automated workflows. The tool takes signup requests and one-time codes as inputs and outputs received and sent emails, making it ideal for use cases requiring email verification or automated email handling.

Canonical page: https://skillsregistry.net/skills/mailflat-mailflat-sdks  
JSON: https://api.skillsregistry.net/v1/skills/mailflat-mailflat-sdks

## Description

MCP server that gives an agent its own email inbox: it opens the inbox, waits for the one-time code a signup sends, and reads or sends mail. Addresses are permanent, so a test suite does not need a new one per run; only the messages expire, on a retention window you set.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fiinbwvyum)
- **Repository:** <https://github.com/MailFlat/mailflat-sdks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mailflat-mailflat-sdks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mailflat-mailflat-sdks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mailflat-mailflat-sdks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt