The project "awesome-devops-mcp-servers" is a curated list of Model Context Protocol (MCP) servers specifically focused on DevOps tools and capabilities. MCP is an open protocol that allows AI models to securely interact with local and remote resources through standardized server implementations. This list highlights MCP servers that extend AI capabilities in managing cloud infrastructure, container orchestration, version control, security scanning, and other DevOps-related services. The repository categorizes MCP servers into various domains such as Infrastructure as Code (IaC), Container Orchestration, and Cloud Providers. For Infrastructure as Code, it includes servers for Terraform, Pulumi, and other IaC platforms that enable AI assistants to manage infrastructure through code, perform operations like reading configurations, analyzing plans, applying configurations, and managing state. In Container Orchestration, the list features MCP servers for Kubernetes and related tools, allowing AI assistants to interact with Kubernetes clusters, execute CLI commands, and manage container deployments and monitoring. For Cloud Providers, the list includes MCP servers for major platforms like AWS and Azure, enabling AI-driven management of cloud resources and services. The project also provides a legend to indicate official implementations, programming languages used, scope (cloud, local, embedded), and supported operating systems. Overall, this repository serves as a comprehensive resource for developers and AI practitioners looking to leverage MCP servers to enhance DevOps workflows through AI integration. It facilitates natural language interaction with complex DevOps environments, making infrastructure and container management more accessible and efficient.
https://github.com/rohitg00/awesome-devops-mcp-servers
Apache APISIX is a high-performance cloud-native API Gateway and AI Gateway that supports Model Context Protocol (MCP) integration through its mcp-bridge plugin, offering dynamic traffic management, security, and observability features.
AWS MCP Servers is a suite of specialized Model Context Protocol servers that integrate AWS best practices and resources into AI-powered development workflows to enhance cloud-native development and infrastructure management.
Webiny is an open-source, self-hosted headless CMS and framework, built on AWS serverless with AI-assisted development capabilities via an embedded MCP server, designed for large organizations.
MCP Registry is a community-driven centralized service offering a RESTful API for discovering, managing, and publishing Model Context Protocol (MCP) servers with MongoDB and Docker support.
Olares is an open-source personal cloud operating system that enables users to run local AI models and applications with personalized, context-aware AI interactions using a Model Context Protocol-like mechanism, providing a private and secure AI home server environment.
Cloudflare MCP Server is a suite of MCP servers that enable large language model clients to interact with and manage Cloudflare's cloud services through natural language commands, facilitating automation and insights across various domains.
mcp-grafana is an MCP server that provides comprehensive programmatic access to Grafana's dashboards, datasources, alerts, incidents, and on-call management features through MCP clients.
MCP Containers offers containerized versions of hundreds of MCP servers, enabling easy, secure, and up-to-date deployment of Model Context Protocol servers for AI integration and experimentation.