"How to send emails" matching MCP servers:

Gives AI agents their own email address with inbound parsing, classification, extraction, and prompt injection screening, plus tools to manage mailboxes, send/receive emails, and handle draft approval workflows.

MCP server that opens a browser and adds a comment/pencil overlay to every page, letting you annotate live sites and send the marks to your coding agent.

MCP server for Claude Desktop to send prompts into a live Codex thread through a shared Codex app-server, preserving thread history, working directory, and model.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables AI agents to send and receive structured, cryptographically-verifiable messages, with tools for inbox management, task delegation, and agent discovery.

Enables routing tasks to the right specialist agents, assembling the needed context from a layered catalog of agents, skills, knowledge, runbooks, topics, tools, and connectors, while remembering how a business wants work done.

Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.

Teach any AI agent how you use an MCP server – Soft-Landing to your AI integrations

Enables programmatic interaction with Happy AI sessions, allowing users to list, create, monitor, send messages to, and manage AI coding sessions across multiple machines.

Enables direct MCP-based pairing with T3 Code environments, allowing users to manage environments and projects, start and continue turns, and inspect thread history over stdio without requiring T3 Connect or a local turn CLI.

Enables local messaging between Claude Code, Codex, Pi, and other coding-agent sessions on the same machine, allowing them to discover each other, send updates, ask questions, and reply.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to manage live Firefox tabs and native tab groups via MCP tools over stdio, with exact-match verification and safety constraints. It does not read page content or send browser data remotely.

Lets one Codex instance send a task to another Codex instance on a different computer, enabling symmetric host-to-host collaboration including projectless tasks and local environment dependent work.

Enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing them to send tasks, receive responses, track task status, and query agent capabilities through the Model Context Protocol.

Enables remote chat between Feishu (Lark) and AI agents like Cursor/Claude via MCP, allowing users to send messages from Feishu groups and receive streaming replies.

A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables interaction with Telnyx's telephony, messaging, and AI assistant APIs to manage phone numbers, send messages, make calls, and create AI assistants. Includes webhook support for real-time event handling and comprehensive tools for voice, SMS, cloud storage, and embeddings.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.