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Email MCP

MCP Server

Add email send/receive to AI agents

Stale(50)
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Updated Apr 1, 2025

About

The Email MCP server enables an AI agent to send and retrieve emails via POP3 and SMTP. It provides tools for polling inboxes, fetching message bodies, deleting messages, and sending plain or HTML emails.

Capabilities

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

Overview

Email MCP extends an AI assistant with native email capabilities by providing a lightweight, secure interface to both POP3 and SMTP servers. It solves the common developer pain point of having to write boilerplate code for connecting, authenticating, and parsing emails in every project. By exposing a small set of high‑level tools—polling, retrieving, deleting, and sending messages—the server lets AI agents perform complex email workflows without the assistant needing to understand networking or MIME parsing.

The server’s value lies in its simplicity and tight integration with the MCP ecosystem. Once configured, any LLM that attaches to the server can invoke to obtain a list of message headers, then selectively call to fetch full bodies. Deletion is handled safely through , which clears messages while acknowledging that message ordering may change. For outbound communication, the and tools allow agents to compose plain‑text or richly formatted emails, supporting multiple recipients and custom subjects. Because the server uses environment variables for credentials, secrets are kept out of code, enhancing security.

Typical use cases include automated customer support agents that read incoming tickets and reply with templated responses, or monitoring tools that alert on specific email patterns. Developers can also build conversational agents that schedule meetings by parsing calendar invites received via email, or create bots that aggregate newsletters and summarize content for users. In each scenario, the MCP abstracts away connection logic, letting developers focus on business logic and natural‑language interactions.

Integration with AI workflows is straightforward: the server registers its tools in the MCP catalog, and any LLM can call them as part of a prompt or chain. The agent’s reasoning engine can decide when to poll, which messages to act on, and how to format replies—all within a single conversation. Because the tools return JSON‑serializable structures, developers can easily serialize results or pass them to downstream services.

Unique advantages of Email MCP include its dual support for POP3 (read‑only access) and SMTP (send), the ability to delete emails safely after processing, and a clean separation of credentials via environment variables. This makes it an ideal component for building end‑to‑end AI assistants that need to interact with real email accounts while maintaining security and compliance.