461 Model Context Protocol servers — searchable, rated, ready to install.
Phone-first local dev MCP for Claude Code and Codex: install Yaver, pair mobile, run, build, deploy.
Managed database, auth, file storage, email, analytics, and deployment for coding agents.
Query financial index data, run backtests, and deploy systematic investment strategies on Index One.
Deploy and manage your apps, databases, storage, and scheduled jobs from your AI agent
Coolify 4.1.x MCP server — deploy, diagnose, and manage apps, services, and databases
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.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Persistent Docker/SSH sandbox for AI agents: shell exec, file ops, audit log.
Server operations MCP: HTTP health checks, log analysis, deploy dry-runs, mail diagnostics.
Create, deploy, and operate MCP servers directly from your GitHub repositories.
Session-bound Docker workflow server through Codex. State is discarded with the container.
MCP server for Azure IoT Hub: device registry, twins, methods, jobs, messaging.
Email infrastructure and authentication for developers: domains, inbox routes, auth apps, deploys.
Outcome-based infrastructure for agents — verified AWS deployments, metered billing
Manage Scalingo PaaS apps, deployments, containers, logs and env vars from your AI assistant.
Live service outage data from 100+ status pages. Ask your AI if Cloudflare is down.
Deploy & release tracking with native MCP — ask Claude what's in production and cut the release.
Serverless functions for coding agents. Deploy, invoke, monitor. 13 tools, stdio or remote SSE.
Runs a command in a throwaway Kubernetes pod and returns exit code, output and artifacts.
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.
Deploy localhost to a private, authenticated link from your AI coding agent.
POST /mcp