Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Generate cloud architecture diagrams, flowcharts, and sequence diagrams.
Interact with your Google Cloud Composer resources using natural language commands.
MCP server aggregating developer infrastructure deals, free tiers, and startup programs
Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
Agent-native web hosting — deploy sites, manage DNS, register domains, scale infrastructure
Interact with your Google Cloud Datastream resources using natural language commands.
Deploy full-stack web apps with database, file storage, auth, and RBAC via a single API call.
MCP server: solver auction across io.net / Akash / Render with signed receipts · Hive Civilization
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Interact with your Google Bigtable resources using natural language commands.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Build, deploy, and host full-stack web apps from any MCP client. DB, auth, storage, cron included.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Provides read access to your GKE and Kubernetes resources.
MCP Gateway: wrap any MCP server with cold-start retries, uptime SLA, and per-execution MPP billing.
