Azure DevOps MCP Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Utilizes environment variables for configuration of organization URL, Personal Access Token, and default project settings.
Enables interaction with Git repositories in Azure DevOps, including accessing repository details and branch information.
Runs on Node.js to provide a server implementation for communicating with Azure DevOps resources via the Model Context Protocol.
Azure DevOps MCP Server
A Model Context Protocol (MCP) server implementation for Azure DevOps, allowing AI assistants to interact with Azure DevOps APIs through a standardized protocol.
Overview
This server implements the Model Context Protocol (MCP) for Azure DevOps, enabling AI assistants like Claude to interact with Azure DevOps resources securely. The server acts as a bridge between AI models and Azure DevOps APIs, providing a standardized way to:
- Access and manage projects, work items, repositories, and more
- Create and update work items, branches, and pull requests
- Execute common DevOps workflows through natural language
- Safely authenticate and interact with Azure DevOps resources
Server Structure
The server is structured around the Model Context Protocol (MCP) for communicating with AI assistants. It provides tools for interacting with Azure DevOps resources including:
- Projects
- Work Items
- Repositories
- Pull Requests
- Branches
- Pipelines
Core Components
- AzureDevOpsServer: Main server class that initializes the MCP server and registers tools
- Tool Handlers: Modular functions for each Azure DevOps operation
- Configuration: Environment-based configuration for organization URL, PAT, etc.
Getting Started
Prerequisites
- Node.js (v16+)
- npm or yarn
- Azure DevOps account with appropriate access
- Authentication credentials (see Authentication Guide for details):
- Personal Access Token (PAT), or
- Azure Identity credentials, or
- Azure CLI login
Installation
- Clone the repository:Copy
- Install dependencies:Copy
- Set up your environment:Option A: Using the automated setup script (recommended):This script will:Copy
- Check for and install the Azure CLI DevOps extension if needed
- Let you select from your available Azure DevOps organizations
- Optionally set a default project
- Create a Personal Access Token with the required permissions
- Generate your
.env
file with the correct settings
Option B: Manual setup:
CopyThen edit the
.env
file with your Azure DevOps credentials (see Authentication section below).
Running the Server
Build the TypeScript files:
Start the server:
For development with hot reloading:
Authentication Methods
This server supports multiple authentication methods for connecting to Azure DevOps APIs. For detailed setup instructions, configuration examples, and troubleshooting tips, see the Authentication Guide.
Supported Authentication Methods
- Personal Access Token (PAT) - Simple token-based authentication
- Azure Identity (DefaultAzureCredential) - Flexible authentication using the Azure Identity SDK
- Azure CLI - Authentication using your Azure CLI login
Example configuration files for each authentication method are available in the examples directory.
Environment Variables
For a complete list of environment variables and their descriptions, see the Authentication Guide.
Key environment variables include:
Variable | Description | Required | Default |
---|---|---|---|
AZURE_DEVOPS_AUTH_METHOD | Authentication method (pat , azure-identity , or azure-cli ) | No | azure-identity |
AZURE_DEVOPS_ORG | Azure DevOps organization name | No | Extracted from URL |
AZURE_DEVOPS_ORG_URL | Full URL to your Azure DevOps organization | Yes | - |
AZURE_DEVOPS_PAT | Personal Access Token (for PAT auth) | Only with PAT auth | - |
AZURE_DEVOPS_DEFAULT_PROJECT | Default project if none specified | No | - |
AZURE_DEVOPS_API_VERSION | API version to use | No | Latest |
AZURE_AD_TENANT_ID | Azure AD tenant ID (for AAD auth) | Only with AAD auth | - |
AZURE_AD_CLIENT_ID | Azure AD application ID (for AAD auth) | Only with AAD auth | - |
AZURE_AD_CLIENT_SECRET | Azure AD client secret (for AAD auth) | Only with AAD auth | - |
PORT | Server port | No | 3000 |
HOST | Server host | No | localhost |
LOG_LEVEL | Logging level (debug, info, warn, error) | No | info |
Troubleshooting Authentication
For detailed troubleshooting information for each authentication method, see the Authentication Guide.
Common issues include:
- Invalid or expired credentials
- Insufficient permissions
- Network connectivity problems
- Configuration errors
Authentication Implementation Details
For technical details about how authentication is implemented in the Azure DevOps MCP server, see the Authentication Guide and the source code in the src/auth
directory.
Available Tools
The Azure DevOps MCP server provides a variety of tools for interacting with Azure DevOps resources. For detailed documentation on each tool, please refer to the corresponding documentation.
Core Navigation Tools
list_organizations
: List all accessible organizationslist_projects
: List all accessible projectslist_repositories
: List all repositories in a project
For comprehensive documentation on all core navigation tools, see the Core Navigation Tools Guide.
Project Tools
get_project
: Get details of a specific project
For project-specific tool documentation, see the Projects Tools Guide.
Repository Tools
get_repository
: Get repository details
For repository-specific tool documentation, see the Repositories Tools Guide.
Work Item Tools
get_work_item
: Retrieve a work item by IDcreate_work_item
: Create a new work item
Testing
Unit Tests
Run unit tests with:
Integration Tests
Integration tests require a connection to a real Azure DevOps instance. To run them:
- Ensure your
.env
file is configured with valid Azure DevOps credentials:Copy - Run the integration tests:Copy
CI Environment
For running tests in CI environments (like GitHub Actions), see CI Environment Setup for instructions on configuring secrets.
Development
This project follows Test-Driven Development practices. Each new feature should:
- Begin with a failing test
- Implement the minimal code to make the test pass
- Refactor while keeping tests green
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
This server cannot be installed
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps resources including projects, work items, repositories, pull requests, branches, and pipelines through a standardized protocol.
- Overview
- Server Structure
- Getting Started
- Authentication Methods
- Environment Variables
- Troubleshooting Authentication
- Authentication Implementation Details
- Available Tools
- Testing
- Development
- License
- Contributing