awesome-mcp-servers-devops and awesome-mcp

awesome-mcp
41
Emerging
Maintenance 10/25
Adoption 9/25
Maturity 13/25
Community 20/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 93
Forks: 23
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 10
Forks: 3
Downloads:
Commits (30d): 0
Language: JavaScript
License:
No Package No Dependents
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.

Organizes MCP servers by DevOps function (source control, IaC, Kubernetes, CI/CD, observability, security) with detailed comparisons of official versus community implementations—each entry includes maintainer status, capability summaries, and production-readiness indicators. Enables LLM-based DevOps agents to directly access version control systems, infrastructure platforms (Terraform, Pulumi, OpenTofu), Kubernetes clusters, and monitoring tools via a standardized protocol interface. Prioritizes maintained, battle-tested integrations (like HashiCorp's official Terraform/Vault servers and GitHub's lockdown mode) while cataloging alternative implementations for platform flexibility.

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.

# Technical Summary Organizes 74+ peer-reviewed papers and implementations spanning MCP security frameworks, tool-orchestration architectures, and domain-specific applications (healthcare, IoT, wireless networks). Highlights emerging patterns in multi-agent LLM systems using structured tool routing, telemetry integration, and adaptive reasoning loops—from LangGraph-based designs to vision system extensions and distributed intelligence protocols. Covers critical concerns including OAuth-enhanced tool definitions, zero-trust registry approaches, and vulnerability audits for production MCP deployments across enterprise and autonomous systems.

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