# mailx-mcp

> mailx-mcp — usemailx-mailx-mcp. Use this tool when you need to integrate MailX API functionality into AI workflows, enabling agents to send and receive emails via a standardized interface. It solves problems related to automated email processing, notification, and communication, accepting API requests as input and returning email data as output. Ideal for use cases requiring email automation, such as notification systems or data extraction pipelines.

Canonical page: https://skillsregistry.net/skills/usemailx-mailx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/usemailx-mailx-mcp

## Description

MCP server exposing the MailX API to AI agents

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-29

## Source

- **Source listing:** [GitHub](https://github.com/UseMailx/mailx-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": "usemailx-mailx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/usemailx-mailx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/usemailx-mailx-mcp/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