"An email protocol for sending and receiving messages" matching MCP servers:

A simple MCP server that enables users to send emails using Resend's API, integrating with tools like Cursor and Claude Desktop for seamless email composition and delivery.

Enables MCP clients to validate email addresses locally before sending or saving them, detecting typos, disposable domains, dead domains, bad syntax, role addresses, duplicates, and provider information.

A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.

MCP server for parsing, validating, building and explaining FIX protocol trading messages — offline, no API keys.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.

An MCP service that enables AI to fully manage email accounts, supporting sending emails with attachments and multiple recipients across various email providers.

A Model Context Protocol server that enables AI models to send emails via simple tool calls, supporting both plain text and HTML formats with JWT authentication.

Resume-as-an-Agent (RAAA) or Portfolio-as-an-Agent (PAAA) allows Agents to talk to your resume, find out if you are available for work, and more. Use the MCP to allow recruiters, managers, and anyone with an agent to "talk" to your resume.

An intelligent MCP server that acts as an AI tech lead for coding agents, providing expert validation, impact analysis, and strategic guidance before code changes are made.

Enables multi-agent coordination with file locking, shared registry, async messaging, and architectural decision logging via MCP tools.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Provides a local MCP server for inspecting offline .eml files without network access, exposing a single tool to generate redacted JSON summaries with nested-message and delivery-status details.

A production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.

MCP server that lets AI coding tools control and observe a running Node.js process through the chrome devtools protocol (CDP), via a lightweight Debug Adapter Protocol (DAP) bridge.

Provides AI assistants with read-only access to inspect database schemas, preview data, and run safe queries across PostgreSQL, MySQL, MongoDB, and SQL Server. It enables AI tools to understand database structures and relationships automatically to generate more accurate code.

Enables schema-validated, sandboxed access to 34 Python-powered tools across Pillow, requests, pypdf, pandas, openpyxl, and python-docx, plus an autonomous ReAct converter agent that can grow the catalog by requirement and self-repair at runtime. It also provides a control console and hardened Docker deployment for secure MCP client integration.

Enables AI agents to check email HTML for delivery-breaking problems before sending, returning structured diagnostics with rule id, severity, line and column, along with a tool that lists every available rule. It runs with no filesystem, network or environment access, so agents can validate markup without gaining new permissions.

A basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.

Multi-account IMAP/SMTP email MCP server with 22 tools — read, send, search, organize, thread, attachments, and batch operations. Features connection pooling, rate limiting, retry with backoff, and OAuth2 device-code flow. Written in Go.

using aigeon.ai as ESP to send emails

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Create disposable email inboxes, extract OTP codes in 15 languages, and receive webhooks — all from your AI agent. One call: create inbox → wait for email → get the verification code. Supports 7 domains, email forwarding, and HMAC-signed webhooks with OTP included in payload. Free tier available.

Enables running a minimal MCP server over stdio that manually implements JSON-RPC, exposing an add tool so users can observe the handshake, tool listing, and tool call cycle without the official SDK.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.