681 Model Context Protocol servers — searchable, rated, ready to install.
Build on the Flarelink stack — Cloudflare auth, D1, and R2 — from your AI coding tools.
Safe Kubernetes access for AI agents via MCP. Read-only by default, with explicit permission modes.
Cloudflare Workers MCP server: data-transform
Act on Avalanche from your agent: scaffold a dapp, deploy a contract, mint, and read chain state.
Cloudflare Workers MCP server: env-blueprint-validator
Cloudflare Workers MCP server: form-backend
Give any LLM its own computer — Docker sandboxes with bash, browser, docs, and sub-agents
A Model Context Protocol (MCP) server for container runtimes (Podman and Docker)
Deploy to IBM Code Engine from Cursor, Copilot, Claude & Cline. Build, push, deploy via MCP.
Monitor MCP server health, uptime, response times, and Azure DevOps pipeline status
MCP server for Docker — manage containers, images, volumes, and compose services from your IDE
Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration
European cloud hosting. Deploy and manage apps with your favorite AI coding assistant.
Docker container management and Dockerfile analysis
TypeScript MCP server for AI-powered containerization workflows with Docker and Kubernetes support
Deterministic AI-liability attribution: signed, Bitcoin-anchored vendor/deployer/user fault split.
Operate self-hosted OpenClaw and Hermes agent fleets on Docker or Kubernetes from MCP clients.
Charter-bound defensive security copilot: secrets, obfuscation, deps, Dockerfile, IaC scans.
Anchor AI FinOps to real, live cloud pricing — AWS, GCP & Azure public and enterprise rates.
Deploy Dockerized apps to Akash devnet with ShipDapp MCP build, deploy, update, and logs tools.
Query Airbrake errors, notices, deploys, and project stats from MCP clients
MCP server for natural-language Kubernetes operations across single or multi-cluster environments.
AWS security scanner with attack chain detection, IAM privilege escalation, and fixes
Deploy apps and manage Kubernetes on AWS, GCP, Azure, and On-Premise with natural language.
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