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

These are ecosystem siblings—both are curated registries that index MCP servers, with B serving as the broader general-purpose catalog while A provides a specialized, DevOps-focused subset with filtered recommendations for infrastructure automation use cases.

awesome-mcp-servers
42
Emerging
Maintenance 10/25
Adoption 9/25
Maturity 13/25
Community 20/25
Maintenance 2/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 93
Forks: 23
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 5,232
Forks: 745
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License Stale 6m 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-servers

appcypher/awesome-mcp-servers

Awesome MCP Servers - A curated list of Model Context Protocol servers

This is a curated list of Model Context Protocol (MCP) servers that allow your AI models (like Claude Desktop or Sourcegraph Cody) to securely access and interact with external systems. It helps AI models read and write files, connect to databases, and integrate with various APIs. This resource is for developers, AI engineers, or IT professionals who are building or deploying AI applications and need to extend their AI's capabilities beyond its core model.

AI integration developer tools secure computing API integration AI infrastructure

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