# MailPace

> Use this tool when you need to send automated emails through natural language requests without managing SMTP servers or complex email infrastructure. MailPace enables AI assistants to send transactional emails with features like HTML/text content, attachments, and custom headers. It authenticates using domain API tokens and handles error states, making it suitable for applications that require reliable and scalable email sending capabilities.

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

## Description

MailPace MCP Server provides a bridge to MailPace's transactional email API, enabling AI assistants to send emails with features like HTML/text content, attachments, CC/BCC recipients, and custom headers. Built with TypeScript and running over stdio, it authenticates using domain API tokens and handles error states appropriately, making it valuable for applications that need to send automated emails through natural language requests without managing SMTP servers or complex email infrastructure.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

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

## 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": "mailpace"
    }
  }
}
```

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