"Google Cloud Platform (GCP) resources and information" matching MCP servers:

Wraps multiple cloud CLIs (AWS, GCP, Azure, OCI) into a unified command interface and exposes them as MCP tools for AI assistants.

Unified MCP server for managing cloud resources across AWS, Google Cloud, Azure, and DigitalOcean by wrapping their CLI tools.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Connects to a GCP-hosted AOSP build VM via IAP tunnel, uploads APKs as privileged system apps, and builds system.img.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.

A cloud replacement for mcp-server-filesystem that provides 30 tools for S3, Azure Blob, and Google Cloud Storage, deployable locally via STDIO or remotely over HTTP/WebSocket with OAuth 2.1 authentication.

Enables managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Complete Google Ads API v21 MCP server with 40+ fully implemented tools for campaign, ad group, keyword, extension, and portfolio bidding management, enabling AI assistants to create, optimize, and manage Google Ads campaigns through natural language commands.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

The Yeepay MCP service provides integration with Yeepay services via the Model Context Protocol (MCP).

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

Enables execution of SSH commands on remote servers and management of Google Cloud Platform (GCE) instances through Cursor IDE.

Enables AI assistants to directly invoke Kali Linux network tools for network maintenance and security assessment, with 19 tools including port scanning, DNS queries, and penetration testing.