"Google's email service" matching MCP servers:

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

A stateless HTTP MCP service that exposes GitHub organization member management tools (list, view, add, update role, remove members, and manage invitations) as MCP tools consumable by Claude and other MCP clients.

Enables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Enables AI agents to create private GitHub issues for decisions, send email alerts, wait for human comments, and parse replies so work can resume. Supports guided setup and MCP integration without requiring separate AI API keys or an always-on cloud server.

Enables AI assistants to search and explore Chromium and PDFium source code, check Gerrit code reviews with test results and bot errors, search issues, and analyze commit history through Google's official APIs.

MCP Server for Git operations, agent templates, and project utilities.

Unified MCP server exposing 12 DevOps tools across GitHub, PostgreSQL, Slack, and Google Calendar for AI agents, with rate limiting, input validation, and per-service scoped tokens.

A cloud-hosted bridge that gives AI tools secure, real-time access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass.

Enables AI assistants to manage work items, repos, pull requests, pipelines, boards, wikis, and test plans through Model Context Protocol tools, resources, and prompts, supporting PAT, OAuth, Managed Identity, and Service Principal authentication.

A modular server that implements the Model Context Protocol standard, providing tools for interacting with GitHub, GitLab, Google Maps, Memory storage, and web automation through a unified gateway.

A thin TypeScript MCP server that exposes engineering tools (Bitbucket, Jira, Confluence, ArgoCD) to MCP-compatible editors via a single API key per developer, delegating all service interactions to an internal backend.

Enables a secure append-only write service for mobile ChatGPT captures, storing text, voice transcriptions, and attachments as new files in a private GitHub KnowledgeHub repository without overwriting or deleting existing content.

Enables AI coding agents to read and manage a Git-native decision ledger, providing tools for querying decisions, evidence, cross-repository workspaces, validation, and commit tracing, all operating locally and without a cloud service.

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.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

A lightweight MCP server that handles git operations on behalf of AI coding assistants, running as a local HTTP service without external network exposure by default.

Enables Codex users to review workspace and staged files, preview diffs, stage or unstage changes, generate AI-written Chinese Conventional Commit messages from staged diffs, and switch, merge, update, and push branches from a local panel. All Git operations run through a locally registered MCP service without a cloud deployment.

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Enables AI agents to run structured preflight checks and identity-scoped Git operations, committing, pushing and opening GitHub PRs with the correct Git name, email, SSH key and signature for each repository. Persistent changes require exact proposals, human approval by default and recoverable, idempotent apply.