A comprehensive email automation and AI communication suite designed for autonomous agents to manage outreach, classification, and replies.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcf-email-engine
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mcf-email-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Email Engine is a specialized communication layer built for AI agents that require the ability to interact with humans via email. As a powerful addition to the library of Openclaw Skills, it enables agents to move beyond simple text generation into full-scale inbox management. The tool handles everything from high-volume bulk campaigns to granular AI-driven classification of inbound messages.
By integrating this skill, developers can equip their agents with the logic to understand sentiment, determine urgency, and generate contextual replies that align with specific business goals. Built on a pay-as-you-go model using x402 payments on the Base L2 network, it provides a scalable infrastructure for modern agentic workflows.
To begin using Email Engine within your agentic environment, you must first interface with the MCF Agentic gateway. Ensure your agent is configured to handle x402 payments on the Base L2 network.
# Initial connection to check pricing and availability
curl -X POST https://gateway.mcfagentic.com/api/email/send
# Example: Creating a reusable template
curl -X POST https://gateway.mcfagentic.com/api/email/templates \
-H "Content-Type: application/json" \
-d '{"name": "Intro", "subject": "Hello {{first_name}}", "body_html": "<p>Hi!</p>"}'
The Email Engine organizes data through structured JSON responses and metadata tagging to support complex Openclaw Skills workflows:
| Object Type | Description | Key Attributes |
|---|---|---|
| Classification | AI analysis of inbound emails | intent, sentiment, urgency, suggested_action, confidence |
| Campaign | Metadata for bulk operations | campaign_id, total_recipients, status, estimated_completion |
| Template | Reusable content structures | id, name, variables, created_at |
| Message | Individual send logs | id, status, sent_at, tracking_metrics |
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