"Google's email service" 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.

A lightweight MCP server bridging AI agents to Google's Gemini AI via official CLI

Bridges Model Context Protocol (MCP) with Google's Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants like Claude to discover, register, communicate with, and manage tasks on A2A agents through a unified interface.

Wraps Google's Antigravity CLI as MCP tools for Claude, enabling cost-disciplined multi-model execution with background jobs and fan-out research/review pipelines.

An MCP server that bridges Claude Code with Antigravity CLI using a Swarm Agent architecture to optimize local development workflows and minimize LLM token costs. Includes a web UI for monitoring agent workflows.

A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.

Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.

Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

A Model Context Protocol server that enables Claude Desktop and other MCP-compatible clients to leverage Google's Gemini AI models with features like thinking models, Google Search grounding, JSON mode, and vision support.

Enables multiple AI agents to each run Google's full Chrome DevTools toolset in an isolated Chrome instance with saved logins, origin allowlists, reconnect recovery, and process cleanup. It also provides visibility into running browsers so stale sessions can be inspected or reaped.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.

A service for managing ESP8266/NodeMCU IoT devices that provides both REST/WebSocket APIs and implements the Model Context Protocol for AI assistant integration.

Enables AI assistants to connect over streamable HTTP with bearer authentication to tools for agent lifecycle, email, phone, platform, vault, and browser extension management.

Provides a hosted remote MCP server that lets AI agents create and use their own email address to send, receive, verify, and reply to messages.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

Publishes the app your coding agent built so your coworkers can use it: a private address behind email sign-in, its own database, scheduled jobs and email reminders, with tools to invite people, read logs, roll back and export data.

Gives AI agents a wallet, email, phone number, and instant access to paid MCP tools including web search, image/video/music generation, email, SMS, voice calls, and code execution.

A production-ready Node.js server that enables decentralized communication between AI agents on the Hedera network, implementing the Model-Context-Protocol architecture with support for multiple Hedera Consensus Service standards.