awesome-mcp-servers-devops and awesome-mcp
These two tools are **ecosystem siblings**, both serving as curated lists of resources for the Model Context Protocol (MCP), with one (B) offering a broader scope of high-quality tools, libraries, research papers, projects, and tutorials, and the other (A) focusing specifically on DevOps-related MCP servers.
About awesome-mcp-servers-devops
WagnerAgent/awesome-mcp-servers-devops
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.
This list compiles production-ready integrations for DevOps professionals who want to connect AI teammates or other Model Context Protocol (MCP) clients to their existing tools. It provides a comprehensive catalog of servers that allow AI to interact with source control, infrastructure as code, CI/CD pipelines, and cloud platforms. The list helps DevOps engineers, SREs, and platform engineers find the right connectors to automate tasks, query systems, and manage operations through an AI interface.
About awesome-mcp
gauravfs-14/awesome-mcp
A carefully curated collection of high-quality tools, libraries, research papers, projects, and tutorials centered around Model Context Protocol (MCP) — a novel paradigm designed to enable modular, adaptive coordination between large language models (LLMs) and external tools or data contexts.
This is a curated collection of resources focused on the Model Context Protocol (MCP), a new method for making large language models (LLMs) work better with external tools and data. It helps AI researchers and developers design intelligent systems that can adapt, reason, and use multiple tools to complete complex tasks. You'll find research papers, practical tools, and tutorials to build more interactive and context-aware AI.
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