# MultiMail

> Use this tool when you need to integrate email functionality into AI workflows, enabling agents to send and receive emails with features like threaded conversations and file attachments. It solves problems like automated communication, notification management, and oversight control, with inputs including markdown emails and file attachments, and outputs like HTML-converted emails and webhook notifications. Ideal for use cases requiring granular permission management and progressive autonomy granting.

Canonical page: https://skillsregistry.net/skills/multimail  
JSON: https://api.skillsregistry.net/v1/skills/multimail

## Description

Provides full email functionality for AI agents through the MultiMail platform. Supports sending and receiving emails in markdown format with automatic HTML conversion, threaded conversations, file attachments, webhook notifications, and granular oversight controls. Includes scoped API keys for permission management and a trust ladder system for progressively granting agent autonomy.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/multimail)
- **Repository:** <https://github.com/multimail-dev/mcp-server>

## 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": "multimail"
    }
  }
}
```

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