"Automated cleanup tools" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Simulate cloud architectures before provisioning. 9 free demo tools; an API key unlocks all 62.
Hosted MCP servers for MSP tools: ConnectWise, NinjaOne, Microsoft 365, SentinelOne, Pax8 and more.
Publish browser games, worlds, tools and other wonders built with AI to Velven's hosting, and manage them
The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
Access Zain Ahmed’s public engineering profile, project case studies, technical articles, and platform engineering resources through MCP tools and structured resources. Hosted Streamable HTTP endpoint at zainahmed.net; public retrieval requires no API key.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Publish browser games, worlds, tools and wonders built with AI to Velven's hosting, and manage them.
White-label reseller platform: eSIM, VPN, SMM, AI tools, CRM, hosting. Prices, clients and orders.
Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.
Debug, build, and manage Power Automate cloud flows with AI agents
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Provides tools to manage Memorystore for Valkey instances and backups.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
- ZopnightOAuthdev.zop.api
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
- PuterOAuthcom.puter.mcp
Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.
Official Sevalla MCP — full PaaS API access through just 2 tools.
