Tiberriver256/mcp-server-azure-devops

What it solves

It enables AI assistants (like Claude or Cursor) to interact directly with Azure DevOps. This allows users to manage projects, work items, repositories, and pipelines using natural language instead of manually navigating the Azure DevOps UI.

How it works

The project implements the Model Context Protocol (MCP), acting as a standardized bridge between an AI model and the Azure DevOps APIs. It provides a set of modular tools that the AI can call to perform specific actions—such as creating a pull request or searching code—while handling authentication via Personal Access Tokens (PAT), Azure Identity, or the Azure CLI.

Who it’s for

Developers and DevOps engineers who use Azure DevOps, particularly those using Azure DevOps Server (on-premises) or those who need features not yet available in the official Microsoft MCP implementation.

Highlights

• Broad Toolset: Includes tools for managing work items, repositories, pull requests, pipelines, and wikis.
• On-Premises Support: Specifically supports Azure DevOps Server (on-prem) via PAT authentication.
• Flexible Auth: Supports multiple authentication methods including Azure Identity and Azure CLI.
• Standardized Protocol: Built on MCP for easy integration with compatible AI clients.