"Information about computer usage" matching MCP connectors:

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

Run and manage H Company's Computer-Use Agents from any MCP client.

HiveCompute MCP Server — decentralized inference router for AI agents

MCP server: solver auction across io.net / Akash / Render with signed receipts · Hive Civilization

AI Agent Builder, Orchestrator & Grader. Build, test, optimize and deploy AI agents from any MCP client. 32 tools: agent CRUD, template deployment, grading & AutoResearch optimization, multi-agent teams, pipelines, memory management, 5-channel deployment (widget, Slack, Telegram, WhatsApp, webhooks), OAuth connectors (email, calendar), usage analytics, EU AI Act compliance reports, and portable agent export/import

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.

Create and drive plori cloud agents and workflows over MCP; each agent has its own cloud computer.

Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).

Usage metering + SLA accounting for agent services (the meter behind x402 micropayments).

Execute one-off or scheduled tasks within a virtual computer that can spin up a real browser, a full coding agent, an email inbox and more. OpenHelm unlocks the ability for your agent to carry out all sorts of tasks, such as: • Deep research on a topic • Emailing + handling responses • Coding work • Updating files What makes OpenHelm the best solution for this: • Underpinned by a powerful AI that monitors work and ensures goals are actually achieved • Browser is SUPER stealthy, meaning it c

MCP server for progressive tool usage at any scale (see https://klavis.ai)

A paid remote MCP for OpenAI Codex agent coordination MCP, built to return verdicts, receipts, usage

A paid remote MCP for AI agent browser approval MCP, built to return verdicts, receipts, usage logs,

A paid remote MCP for AI agent browser MCP session, built to return verdicts, receipts, usage logs,

A paid remote MCP for AI agent browser DevTools MCP, built to return verdicts, receipts, usage logs,

A paid remote MCP for hosted MCP server, built to return verdicts, receipts, usage logs, and audit-r

GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.

The OpenMesh MCP Server provides decentralized, permissionless cloud infrastructure that integrates AI assistants with Web2 and Web3 applications without middlemen. It offers intelligent service discovery to identify MCP servers, acts as a universal proxy for routing requests to discovered services, implements performance optimization through usage feedback, and provides automatic fault tolerance with alternative services when servers become unavailable.