The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

An implementation of the MCP Server for Azure DevOps, providing a standardized protocol for AI assistants to access the Azure DevOps API

CODING DevOps MCP Server is a server implementation based on the MCP protocol for interacting with the CODING DevOps platform and providing project and work item management functions.

An MCP server for integrating Cursor IDE with Azure DevOps, providing interaction functions for projects, work items, code repositories, and pull requests, and supporting test plan management and intelligent response handling.

MCP Servers is a dotnet tool collection containing multiple MCP (Model Context Protocol) servers, providing two communication methods: standard input/output (Stdio) and server-sent events (SSE), supporting integration with services such as Azure DevOps, and including client tools and a general framework.

An MCP server for the Azure DevOps API, supporting functions such as project management and repository operations.

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

This project is a collection of Model Context Protocol (MCP) servers specifically designed for DevOps tools and platforms. It enables large language models (LLMs) to directly interact with mainstream DevOps systems in a standardized way, achieving automated control of operations such as infrastructure, deployment pipelines, and monitoring.

This project is a server based on the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services, enabling natural - language operations on work items, project management, and other functions.

The Azure DevOps MCP is a dynamic server that can automatically switch authentication contexts based on the working directory, enabling seamless integration across multiple organizations and projects. It supports comprehensive functions such as work item management, code repositories, and build pipelines, and allows zero-configuration switching through local configuration files.

The MCP integration service for Azure DevOps provides a standardized access interface to work items, code repositories, projects, kanban boards, and iterations.

A curated list of Model Context Protocol (MCP) servers in the DevOps field, covering categories such as infrastructure as code, container orchestration, CI/CD, monitoring and observability, security, and other practical tools.

Azure DevOps integration service that provides Cline with the ability to interact with Azure DevOps

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

An MCP server that provides integration with Azure DevOps, supporting the management of work items, pull requests, and Wiki pages.

This is a TypeScript-based MCP server that interacts with work items through the Azure DevOps REST API, providing functions such as creating, querying, and updating work items, as well as managing projects.

MCP DevOps Hub is a server that provides end-to-end development visualization, integrating tools such as Jira, GitHub, and CI/CD, and supporting team notifications and code analysis.

The Azure DevOps MCP server provides functions such as project management and repository operations, simplifies complex workflows, and improves development efficiency.

A modern Python project template with FastAPI REST API, Docker support, code quality tools (ruff/mypy/pytest), and CI/CD integration, demonstrating best practices for production-grade Python applications.

Azure DevOps MCP Server provides API services for file operations, repository management, search functions, etc., and supports automated branch creation, error handling, and batch operations.