# agentboxd

> agentboxd — agentboxd-agentboxd. Use this tool when you need to integrate real email inboxes with AI agents, enabling them to send and receive emails programmatically. It solves problems related to automated email processing, notification, and communication, providing a TypeScript SDK, CLI, and Python SDK for seamless interaction. Ideal for use cases requiring email capabilities, such as customer support, notifications, or data exchange, with inputs including email content and outputs including received emails and sent responses.

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

## Description

Real email inboxes for AI agents: TypeScript SDK and CLI, MCP server, Python SDK and examples for the Agentboxd API

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agentboxd/agentboxd)

## 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": "agentboxd-agentboxd"
    }
  }
}
```

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