microsoft/azure-devops-mcp

The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

What it solves

This project provides a bridge between AI agents and Azure DevOps, allowing agents to interact with your projects, work items, repositories, and pipelines directly. It eliminates the need for agents to manually navigate the Azure DevOps UI or for developers to manually copy-paste context from Azure DevOps into a chat window.

How it works

The server implements the Model Context Protocol (MCP), which is a standard for providing context to LLMs. It acts as a thin layer over the Azure DevOps REST APIs, exposing a set of tools that an AI agent can call to retrieve information or perform actions. It can be deployed as a hosted remote server for ease of setup or as a local server using a stdio connection.

Who it’s for

Developers and teams using Azure DevOps for project management and CI/CD, who want to integrate their development workflow into AI-powered coding assistants (like GitHub Copilot, Claude Code, or Cursor).

Highlights

  • Broad Toolset: Supports a wide range of tasks including listing projects, managing work items, accessing repositories, interacting with wikis, and checking build status.
  • Flexible Deployment: Offers both a remote server (recommended) and a local server for specific stdio requirements.
  • Domain Filtering: Local server users can load specific tool groups (e.g., work-items, pipelines, wiki) to keep the tool list manageable for the agent.
  • Wide Client Support: Compatible with various MCP clients including VS Code, Visual Studio 2022, Claude Code, and Cursor.

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