Azure DevOps MCP Server Overview

Title

Azure DevOps MCP Server – A Model Context Protocol (MCP) server implementation for Azure DevOps, enabling AI assistants to securely interact with Azure DevOps APIs.

How to Use

1. Prerequisites

   • Node.js (v16+)
   • npm or yarn
   • Azure DevOps account with appropriate access
   • Authentication credentials (PAT, Azure Identity, or Azure CLI login)

2. Running the Server

   • Execute via npx:

     npx -y @tiberriver256/mcp-server-azure-devops

   • Configure for Claude Desktop/Cursor AI by adding server settings in the configuration file.

3. Authentication Setup

   • Supports Personal Access Token (PAT), Azure Identity, and Azure CLI.
   • Configure via environment variables or JSON settings.

Key Features

• Standardized Interaction: Implements Model Context Protocol (MCP) for AI-to-Azure DevOps communication.
• Secure Authentication: Multiple auth methods (PAT, Azure Identity, Azure CLI).
• Comprehensive Toolset:
  • Projects: List, retrieve, and manage projects.
  • Repositories: Access files, branches, and pull requests.
  • Work Items: Create, update, and search work items.
  • Pipelines: List, trigger, and monitor pipelines.
  • Search: Code, wiki, and work item search capabilities.
• Flexible Configuration: Environment variables for customization.

Use Cases

• AI-Assisted DevOps: Allow AI assistants (like Claude) to manage Azure DevOps workflows via natural language.
• Automated Work Item Management: Create, update, and link work items programmatically.
• Repository Access: Retrieve file content, branches, and pull requests securely.
• Pipeline Automation: Trigger and monitor CI/CD pipelines through AI commands.
• Unified Search: Quickly find code, wiki pages, or work items across projects.

For detailed setup and troubleshooting, refer to the Authentication Guide.