# MultiMail

> Use this tool when you need to automate email communication with human review, sending and receiving messages in markdown format. MultiMail solves the problem of efficient and supervised email exchange between AI agents and humans, enabling seamless information sharing and collaboration. It takes in markdown inputs and outputs received emails, providing a streamlined interface for AI-driven email management.

Canonical page: https://skillsregistry.net/skills/multimail-dev-multi-mail  
JSON: https://api.skillsregistry.net/v1/skills/multimail-dev-multi-mail

## Description

Email for AI agents. Send and receive as markdown with human oversight.

## 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:** [Glama](https://glama.ai/mcp/servers/snm8cq4dk6)
- **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-dev-multi-mail"
    }
  }
}
```

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