847 Model Context Protocol servers — searchable, rated, ready to install.
Serverless functions for coding agents. Deploy, invoke, monitor. 13 tools, stdio or remote.
A persistent Docker or Fly computer with a Three.js interface and optional live Xfce desktop.
Phone-first OpenCode MCP for trusted devices: run, build, deploy, and manage endpoint-local tools.
Advisory AOS agent health scan before deployment (manifest, services, immune loop, evidence).
Your AI builds, deploys, and runs full-stack apps on a hosted workspace created at first sign-in.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Coolify 4.1.x MCP server — deploy, diagnose, and manage apps, services, and databases
Deploy and manage your apps, databases, storage, and scheduled jobs from your AI agent
AI-powered VMware vCenter/ESXi VM lifecycle and deployment with 61 MCP tools.
Session-bound Docker workflow server through Codex. State is discarded with the container.
Email infrastructure and authentication for developers: domains, inbox routes, auth apps, deploys.
Live service outage data from 100+ status pages. Ask your AI if Cloudflare is down.
Server operations MCP: HTTP health checks, log analysis, deploy dry-runs, mail diagnostics.
Manage your Onde Inference account and models: apps, model catalog, fine-tuned GGUF deploys.
Persistent Docker/SSH sandbox for AI agents: shell exec, file ops, audit log.
MCP server for Azure IoT Hub: device registry, twins, methods, jobs, messaging.
Runs a command in a throwaway Kubernetes pod and returns exit code, output and artifacts.
Deploy & release tracking with native MCP — ask Claude what's in production and cut the release.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
Outcome-based infrastructure for agents — verified AWS deployments, metered billing
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
Your AI agent deploys, migrates & upgrades self-hosted Odoo ERP on a server you own.
Build, backtest, and deploy quantitative trading strategies from your AI agent.
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client.
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