Email MCP Server

The Email MCP Server provides a lightweight, standards‑compliant bridge between AI assistants and SMTP email services. By exposing a set of well‑defined MCP resources, it lets an AI client send, receive, and manage email without having to embed complex mail‑handling logic in the assistant itself. This is especially useful for developers who want to add “send‑email” or “read inbox” capabilities to conversational agents, chatbots, or automated workflows.

At its core, the server accepts SMTP configuration via environment variables—host, port, SSL usage, account credentials—and translates those into a single MCP endpoint. The assistant can then invoke this endpoint to deliver messages, query the mailbox for unread items, or retrieve message metadata. The abstraction keeps credentials out of the assistant’s codebase while still allowing fine‑grained control over email behavior. For developers, this means a clear separation of concerns: the MCP server handles all SMTP intricacies, and the AI simply calls a high‑level API.

Key features include:

• Secure credential handling through environment variables, ensuring sensitive data never travels in the request payload.
• Standardized MCP resource definitions that map directly to common email actions (send, list, read).
• Scalable deployment options via , making it trivial to spin up the server in a local or cloud environment.
• Extensible architecture that can be augmented with additional mail‑related tools (e.g., attachment parsing, HTML rendering) without altering the core protocol.

Typical use cases span from automated customer support systems that need to send confirmation emails, to data‑collection bots that pull reports from a shared mailbox. In a CI/CD pipeline, the MCP server can trigger notification emails upon build failures or deployment completions. For personal productivity tools, an AI assistant could schedule reminders by sending emails to the user’s inbox.

Integrating the Email MCP Server into an AI workflow is straightforward: once the server is running, the assistant merely sends a request to the defined resource URL. The MCP client handles authentication and response parsing, allowing developers to focus on higher‑level conversational logic rather than email transport details. This modularity makes it an attractive component in any AI‑driven automation stack that requires reliable, programmatic email communication.