awesome-mcp-servers-devops and awesome-mcp-security

These are ecosystem siblings, as both provide curated lists of resources for the Model Context Protocol (MCP), but one focuses on a broader DevOps context while the other specializes in security.

Maintenance 10/25
Adoption 9/25
Maturity 13/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 8/25
Community 18/25
Stars: 93
Forks: 23
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 663
Forks: 67
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

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.

DevOps Site Reliability Engineering Cloud Operations Infrastructure Management CI/CD

About awesome-mcp-security

Puliczek/awesome-mcp-security

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

This project is a comprehensive guide for understanding and implementing security measures for systems utilizing the Model Context Protocol (MCP). It compiles essential information, including security specifications, research papers, videos, and articles, to help practitioners safeguard their MCP implementations. The intended users are security professionals, AI developers, and system architects who need to ensure the robustness and safety of their AI agent deployments.

AI Security Model Context Protocol AI Agent Safety Application Security Enterprise AI Integration

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