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Rmcp Mailer

MCP Server

Send emails with natural language prompts via LLM

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Updated Jul 19, 2025

About

Rmcp Mailer is a Rust-based MCP server that lets users compose and send emails using simple natural language prompts. It leverages the Lettre SMTP client and an LLM to generate email content, templates, and handle basic administration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Rmcp Mailer – A Rust‑Based MCP Email Server

Rmcp Mailer is a lightweight Model Context Protocol (MCP) server written in Rust that turns natural‑language prompts into real email actions. Instead of filling out a form or crafting SMTP commands by hand, developers can ask an AI assistant—such as Claude, Cursor, or Copilot—to send a message, create templates, or manage recipients. The server bridges the gap between conversational AI and traditional email workflows by translating user intent into properly formatted SMTP messages using the well‑known crate.

The core problem Rmcp Mailer solves is the friction of integrating email capabilities into AI‑driven applications. Conventional mail clients require explicit fields for “To,” “Subject,” and body text, which can be cumbersome when the user’s intent is expressed in plain English. By exposing a simple set of MCP resources—, , and —the server allows an LLM to parse a prompt, populate the necessary parameters, and dispatch the email through an SMTP server. This eliminates boilerplate code and enables developers to focus on higher‑level logic rather than low‑level protocol details.

Key features of the server include:

  • Natural‑language parsing: The LLM constructs a request payload from prompts like “send an formal email to Bob” or “add a template named greeting,” automatically filling in fields such as recipient address, subject, and body.
  • Template management: Users can create reusable email templates with placeholders (e.g., ) and later send templated messages by referencing the template name and providing values for variables.
  • SMTP integration: Leveraging , the server supports standard SMTP authentication and message formatting, ensuring deliverability and compliance with email standards.
  • Extensibility hooks: The README outlines future enhancements—SMTP administration, scheduling, and recipient management—that can be added without disrupting the existing MCP interface.

In real‑world scenarios, Rmcp Mailer is invaluable for automated customer outreach, event invitations, or internal notifications. A developer building a chatbot can let users request “invite Bob to the wedding” and receive an instant, correctly formatted email without manual input. Marketing teams can trigger templated welcome emails from a conversational interface, reducing the need for separate email‑automation tools. Because the server is built on Rust and the MCP SDK, it offers low latency, strong type safety, and seamless integration into existing Rust‑based microservices or web applications.

Integrating Rmcp Mailer into an AI workflow is straightforward: the MCP client (e.g., the Copilot MCP agent) sends a structured request to the server whenever the user’s prompt matches an action. The LLM generates the required fields, the server validates and sends the email via SMTP, and finally returns a concise success message. This pattern keeps the conversational experience fluid while delegating reliable delivery to a proven email library, giving developers a powerful yet simple tool for adding email capabilities to AI assistants.