The AutoSend MCP Server is a Model Context Protocol (MCP) integration that enables AI agents to directly interact with the AutoSend email platform. This server provides programmatic access to email marketing and transactional email functionalities, allowing AI assistants to perform complex email operations through natural language prompts.
Key Features
- Campaign Management: Create, update, duplicate, and delete draft campaigns with full control over sender details, subject lines, HTML content, and tracking settings
- Template Management: Build reusable HTML templates with dynamic variables, search existing templates, and manage template libraries
- Audience Management: Browse contact lists and segments with live subscriber counts, manage suppression lists for compliance
- Analytics & Monitoring: Pull per-campaign delivery statistics including open rates, click rates, bounces, and unsubscribe metrics
- Test Email Functionality: Send preview emails of campaigns or templates to verify content before deployment
- Multi-Agent Integration: Works with major AI agents and coding environments including Claude, ChatGPT, Cursor, Codex, and more
Use Cases
- AI-Powered Email Operations: Allow AI assistants to handle routine email marketing tasks through natural language commands
- Developer Workflow Integration: Integrate email functionality directly into coding environments and development workflows
- Automated Campaign Management: Enable AI agents to create, duplicate, and manage email campaigns based on business requirements
- Real-time Analytics Access: Provide AI agents with immediate access to email performance metrics for data-driven decisions
- Compliance Management: Automate suppression list management and ensure email campaigns respect opt-outs and compliance requirements
Technical Implementation
The server follows the MCP specification, providing a standardized interface for AI agents to interact with the AutoSend API. It supports authentication patterns and best practices, allowing agents to write production-ready integration code without manual intervention. The integration is particularly optimized for OpenClaw agents through a dedicated Clawhub skill.
