556 Model Context Protocol servers — searchable, rated, ready to install.
Host apps built with AI: deploy to a live HTTPS URL, custom domains, secrets and backups.
Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
Inspect a page for Cloudflare Turnstile free, and clear Turnstile and WAF challenges.
Search AI capabilities across AWS Marketplace and the Official MCP Registry.
Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.
Pre-deploy ship gate AI agents call before shipping. Also audits the agent's own MCP config.
Secure Kubernetes MCP server: scoped, redacted diagnostics and human-approved writes
Cloudflare Solver: Scraping API designed to bypass Cloudflare protection.
Build, test, deploy, and operate Connic agents.
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
Read-only GCP tools for debugging incidents and finding cost savings
Azure Resource Manager inventory & ops for AI agents — governed, confirmation-gated.
Bypass Cloudflare API: A powerful scraping API designed to bypass Cloudflare protection.
MimiOps is an opinionated MCP server for Kubernetes
Get a non-expert from zero to a Slack-delivered, plain-English, waste-flagged AWS bill breakdown
Build, backtest, and deploy crypto trading strategies via MCP with 7-stage validation.
Solve reCAPTCHA v2/v3, hCaptcha, Cloudflare Turnstile and image captchas. Platform-hosted, no creden
Read-only SQL across your PostgreSQL, MySQL, S3 buckets and local data files, in one query.
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
MCP server and CLI that resolves config/env-var cascade across .env, docker-compose, and Kubernetes
Read-only Kubernetes diagnostics: pods, logs, events, workloads, services, PVCs and nodes.
Cloud cost visibility and savings recommendations grounded in your actual AWS, GCP and Azure bill.
GPU and LLM inference benchmarks, hardware evidence, deployment recommendations, and launch configs.
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