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mcf-email-enginemcf 电子邮件引擎

Agent Skill

mcf-email-engine 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,560

周安装

144

GitHub Stars

公开资料未说明

下载量

1,117
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcf-email-engine(mcf 电子邮件引擎)
来源仓库:https://github.com/cameron48/mcf-email-engine
安装命令:
openclaw skills install mcf-email-engine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install mcf-email-engine

简介

发送邮件、批量营销、智能分类和自动回复生成,支持模板管理。

  • 适用于企业邮件自动化和客户沟通场景。mcf-email-engine 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装后调用,集成 SMTP 和 API 服务。
  • 注意权限范围和维护状态,避免触发垃圾邮件或隐私泄露。
  • 建议查看原始仓库了解支持的邮件服务商和安全策略。

SKILL.md

name
Email Engine
description
Send emails, bulk campaigns, AI-powered classification, auto-reply generation, and template management.
author
MCF Agentic
version
1.0.0
tags
[email, outreach, campaigns, ai-classification, auto-reply, templates]
pricing
x402 (USDC on Base)
gateway
https://gateway.mcfagentic.com

Email Engine

Send transactional and outreach emails, run bulk campaigns, classify inbound messages with AI, generate contextual replies, and manage reusable templates. Designed for AI agents that need to communicate with humans over email as part of autonomous workflows.

Authentication

All endpoints require x402 payment (USDC on Base L2). Send a request without payment to receive pricing info in the 402 response.

Endpoints

Send Email

  • Method: POST
  • Path: /api/email/send
  • Price: $0.02 per call
  • Description: Send a single email. Supports HTML and plain text, attachments, and reply-to threading.

Request:

{
  "to": "mike@comfortzonehvac.com",
  "from": "cameron@mcfagentic.com",
  "subject": "Quick question about your scheduling, Mike",
  "body_html": "<p>Hi Mike,</p><p>I noticed Comfort Zone HVAC is crushing it on reviews...</p>",
  "body_text": "Hi Mike, I noticed Comfort Zone HVAC is crushing it on reviews...",
  "reply_to": "cameron@mcfagentic.com",
  "track_opens": true,
  "track_clicks": true
}

Response:

{
  "id": "msg_4k9xr2",
  "status": "sent",
  "to": "mike@comfortzonehvac.com",
  "sent_at": "2026-04-01T14:40:00Z"
}

Send Bulk

  • Method: POST
  • Path: /api/email/send-bulk
  • Price: $0.01 per recipient
  • Description: Send a campaign to multiple recipients. Supports personalization variables and staggered delivery.

Request:

{
  "template_id": "tmpl_cold_outreach_v2",
  "recipients": [
    {"email": "mike@comfortzonehvac.com", "variables": {"first_name": "Mike", "company": "Comfort Zone HVAC"}},
    {"email": "sarah@northtexasair.com", "variables": {"first_name": "Sarah", "company": "North Texas Air"}}
  ],
  "from": "cameron@mcfagentic.com",
  "stagger_minutes": 5,
  "track_opens": true
}

Response:

{
  "campaign_id": "camp_7n3mp1",
  "total_recipients": 2,
  "status": "queued",
  "estimated_completion": "2026-04-01T14:50:00Z"
}

AI Classify

  • Method: POST
  • Path: /api/email/ai/classify
  • Price: $0.05 per call
  • Description: Classify an inbound email using AI. Returns intent, sentiment, urgency, and suggested action.

Request:

{
  "subject": "Re: Quick question about your scheduling",
  "body": "Hey Cameron, this sounds interesting. We've been struggling with scheduling for a while. Can you tell me more about pricing?",
  "sender": "mike@comfortzonehvac.com"
}

Response:

{
  "classification": {
    "intent": "interested",
    "sentiment": "positive",
    "urgency": "medium",
    "category": "sales-reply",
    "suggested_action": "send-pricing",
    "confidence": 0.94
  }
}

AI Reply

  • Method: POST
  • Path: /api/email/ai/reply
  • Price: $0.10 per call
  • Description: Generate a contextual reply to an email thread using AI. Takes conversation history and CRM context.

Request:

{
  "thread": [
    {"from": "cameron@mcfagentic.com", "body": "Quick question about your scheduling..."},
    {"from": "mike@comfortzonehvac.com", "body": "This sounds interesting. Can you tell me more about pricing?"}
  ],
  "context": {
    "lead_stage": "qualified",
    "solution": "ai-scheduling-bundle",
    "monthly_price": "$497"
  },
  "tone": "casual-professional",
  "goal": "book-a-call"
}

Response:

{
  "reply": {
    "subject": "Re: Quick question about your scheduling",
    "body": "Hey Mike,\
\
Glad it caught your eye. The AI scheduling package runs $497/mo and typically pays for itself within the first month...",
    "call_to_action": "calendar-link"
  }
}

Manage Templates

  • Method: POST
  • Path: /api/email/templates
  • Price: $0.02 per call
  • Description: Create or update reusable email templates with personalization variables.

Request:

{
  "name": "Cold Outreach v2",
  "subject": "Quick question about your {{pain_point}}, {{first_name}}",
  "body_html": "<p>Hi {{first_name}},</p><p>I noticed {{company}} is doing great work in {{industry}}...</p>",
  "variables": ["first_name", "company", "industry", "pain_point"]
}

Response:

{
  "id": "tmpl_cold_outreach_v2",
  "name": "Cold Outreach v2",
  "variables": ["first_name", "company", "industry", "pain_point"],
  "created_at": "2026-04-01T14:45:00Z"
}

Use Cases

  • An outreach agent sends personalized cold emails to leads from the pipeline
  • A support agent classifies inbound emails and routes them to the right workflow
  • An autonomous sales agent generates and sends follow-up replies based on prospect responses
  • A marketing agent runs drip campaigns across segmented lead lists
  • An agent orchestrator monitors email threads and escalates urgent messages

Pricing

EndpointPriceDescription
/api/email/send$0.02Send a single email
/api/email/send-bulk$0.01/recipientBulk campaign send
/api/email/ai/classify$0.05AI email classification
/api/email/ai/reply$0.10AI reply generation
/api/email/templates$0.02Create/update templates

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.33%
按下载量换算942

安全审计

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通过

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通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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