"Google Cloud Management MCP Overview" matching MCP servers:

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

Enables deployment of a Model Context Protocol server with SSE transport on Google Cloud Run for integration with Antigravity.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

Local stdio MCP server that provides tools for calculating averages, evaluating scores into grades, and retrieving student names by student ID. It logs every call to JSONL files with timestamps and performance metrics.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

Monorepo of MCP connectors for personal cloud services (Microsoft and iCloud), enabling access to Outlook Mail, OneDrive, iCloud Mail, and iCloud Drive via natural language.

Enables management of multiple Jira Cloud instances through MCP, including workspace linking, issue creation and editing, workflow transitions, attachment retrieval, and administration via a web interface.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

MCP server for the Partiri Cloud PaaS platform. Enables AI agents to manage workspaces, projects, services, deployments, and metrics.

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

A Model Context Protocol (MCP) server providing comprehensive cloud region data across all major providers. Query, filter, and compare cloud infrastructure locations worldwide.

Enables AI agents to price, deploy, pay for, monitor, update, and cancel applications on a decentralized cloud using a generated key pair, with plain-language specs converted into validated network specifications. Also provides container logs, live instance stats, and network or pricing guidance as read-only tools.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.

Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.

Enables AI assistants to manage WatchGuard Cloud MSP accounts, activate devices and licenses, and administer operator users through the WatchGuard Cloud REST API.