cloud

MCP server that can execute terminal commands

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

🤖 A Model Context Protocol (MCP) server for Google Cloud (GCP)

The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.

An advanced Agentic AI system built on LangGraph and RAG, seamlessly integrating specialized tools and AWS services—such as Lambda, S3, Bedrock, SageMaker, and Aurora RDS—to synergize large language models with capabilities like web search, GitHub repository importing, and automated task execution.

OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

Talk with your AWS using Claude. Model Context Protocol (MCP) server for AWS. Better Amazon Q alternative.

MCP server for understanding AWS spend

A PostgreSQL-backed archive generator that creates browsable HTML archives from link aggregator platforms including Reddit, Voat, and Ruqqus.

A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.

A curated, DevOps-focused list of Model Context Protocol (MCP) servers—covering source control, IaC, Kubernetes, CI/CD, cloud, observability, security, and collaboration—with a bias toward maintained, production-ready integrations.

Simple, modular, and observable Go framework for backend applications.

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

Creates a simple MCP tool server with "streaming" HTTP.

Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

CLI for exploring AWS EC2 Spot inventory. Inspect AWS Spot instance types, saving, price, and interruption frequency.