"Google's email service" matching MCP servers:

Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Provides compiler-grade TypeScript symbol renaming and file/directory move planning through the TypeScript Language Service, returning structured edit plans without modifying files.

Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.

Exposes TypeScript language service tools (completions, go-to-definition, type info, diagnostics) via MCP for use by AI or IDE clients.

Enables scanning repositories for hardcoded service URLs and clients, and building service-to-service API dependency maps.

A universal MCP server that provides AI-powered code review and analysis for any programming language using Google's Gemini CLI.

Integrates Google's Gemini AI with Claude Code to provide advanced development assistance including code analysis, implementation planning, technical explanations, debugging support, and strategic development guidance.

A specialized code review service that provides 36+ critics for different programming aspects and 3 fixing strategies to automatically address identified issues in a two-step workflow.

Enables coding agents to navigate and score brownfield multi-service flows by mapping use-case trees, tracing loadouts and consumers, and detecting drift.

Generate and manage diagrams (class, ER, sequence, architecture) directly from code in Cursor IDE using RapidChart's AI-powered diagramming service with support for multiple AI models.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for multi-model reasoning, including execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

MCP server providing email client compatibility data from caniemail.com, enabling agents to lint HTML/CSS for email client support, check feature support across clients, and search for features by keyword, with verdicts including supported, unsupported, mitigated, and untested.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI, supporting conversational AI-to-AI debugging, execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

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.

Bridges Claude Code and Google's Gemini AI models to enable AI-to-AI collaboration for code reviews, brainstorming, and direct questions.

MCP server that enables Claude Code to interact with Google's Gemini API for code analysis, chat, and summarization tasks.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Provides knowledge extraction and cross-repo analysis tools for multi-repository organizations. It enables users to query type definitions, service dependencies, and infrastructure configurations across an entire organization's codebase.