"Using Claude Desktop and Code MCP to manage Google Cloud Platform/Vertex AI projects" matching MCP servers:

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.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Maintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.

Enables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.

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.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

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

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

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.

Enables DevOps operators to query and operate the Sigma Streaming Platform from any AI client such as Claude Desktop, Cursor, or Kiro.

MCP server for the Inngest Cloud REST API to inspect functions, runs, and events in production from Claude Code, Cursor, or any MCP client.

Windows desktop-control MCP server: screenshot, window mgmt, mouse/keyboard input, recording.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Claude Code token usage and cost visibility for MCP-capable agents.

MCP server for Windows desktop automation. It provides mouse, keyboard, screen capture, and AI-driven UI element detection via OmniParser.

Enables interaction with Genesys Cloud's Platform API to search queues, analyze conversation volumes, retrieve voice call quality metrics, sentiment analysis, transcripts, and manage OAuth clients through natural language.

Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.

Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

An MCP server that enables querying and interacting with Google Cloud services including Logging, Spanner, Monitoring, and Cloud Trace through natural language.

Local MCP server enabling agents to track Xcode Cloud builds and access TestFlight crash reports through the App Store Connect API.

Enables local or HTTP-based MCP interactions with a mock SAP Cloud ALM environment, enforcing read/write capability separation and fail-closed security policies for future SAP Cloud ALM connectivity.

Enables AI agents to control Linux desktops and compositors, including Hyprland/Wayland window management, PipeWire audio routing, systemd diagnostics and self-healing, notifications, screenshots, and optional agent memory.

Enables AI assistants to answer contact center questions with read-only access to queue status, queue and agent performance metrics, and conversation timelines. Customer phone numbers, emails and names are masked by default, and a built-in simulated contact center lets it be tried without an account.

Provides tools for Claude to query local Claude Code token usage and cost data, enabling spend analysis and insights through natural language.

Surface Claude Code token usage, estimated cost, and plan-limit status in any MCP client. Enables agents to query usage data from local logs and Anthropic API.

Enables AI agents to check live operational status, incidents, maintenance windows, and outage/reliability summaries for Iranian cloud providers, and to read and compare public prices for plans and resource configurations. It is read-only, requires no API key, and returns compact JSON for use in Claude, Cursor, Copilot, and other MCP clients.

Provides Claude plan usage data (session and weekly percentages) as an MCP tool by reading through a logged-in browser, enabling Claude to check its own remaining usage.

Enables querying and analyzing Claude Desktop/Code conversation history across all users on a machine, including conversation search, token usage statistics, model/tool insights, and opening a web dashboard for detailed visualization.