"Resources and Information about DevOps Practices" matching MCP servers:

Provides structured DevOps practices and templates (tracking, documentation, runbooks) to streamline AI-assisted PoC development, reducing CLAUDE.md bloat and ensuring consistency across projects.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

An MCP server for Azure DevOps work item management that enables AI assistants to create, query, update, and manage work items, sprints, and more.

A Model Context Protocol (MCP) server for producing better Terraform through CLI analysis (tflint, checkov, trivy, kics, infracost), best-practice guidance from terraform-best-practices.com, cloud provider recommendations (Azure, AWS, GCP), and Terraform Registry resource and module guidance.

A dynamic Azure DevOps MCP server that automatically switches authentication context based on the current working directory, enabling seamless integration with multiple Azure DevOps organizations and projects.

Enables automated deployments, environment management, snapshots, and deployment monitoring through DevOps Deploy's REST API.

An MCP server that connects Claude to video encoding workflows, enabling smart error translation, real-time job analysis, and automated email drafting for troubleshooting encoding issues.

Enables explicit multi-account routing to Azure DevOps Services for managing projects, repositories, pull requests, work items, and pipelines with isolated credential profiles and strict scoped tools.

Provides tools and slash commands to onboard developers and manage DevOps workflows including Git operations, Docker containerization, GitHub Actions CI/CD, GitHub Container Registry, SonarCloud code analysis, and Azure container deployments.

Unified MCP server for DevOps engineers that provides real-time read and write access to Kubernetes, ArgoCD, Prometheus, and PagerDuty from any MCP-compatible AI agent.

Enables AI agents to execute read-only DevOps operations including kubectl, terraform, helm, docker, and AWS cost analysis through natural language.

Multi-user wrapper around Microsoft's Azure DevOps MCP server, enabling AI agents to authenticate per-user and interact with Azure DevOps tools via isolated PATs.