Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
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This pre-alpha project provides a suite of .NET libraries and a Model Context Protocol (MCP) server designed to expose Azure DevOps operations to AI agents. It aims to streamline software development workflows by allowing AI to perform common tasks such as creating work items, managing pull requests, queuing builds, and handling artifacts through a unified MCP endpoint. The solution is organized into specific client libraries for various Azure DevOps service areas, facilitating comprehensive AI automation.
Características Principales
Pipeline queuing, cancellation, and log retrieval
Test plan and test case management
Pull request workflows and repository management
Artifact feed and package management
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CRUD operations for Azure Boards (Epics, Features, User Stories, Tasks)
Casos de Uso
Enabling AI-driven management of project boards, code repositories, and CI/CD pipelines
Automating software development and operations tasks using AI agents
Integrating Large Language Models (LLMs) with Azure DevOps for intelligent workflow execution