@nisegami/mcp-server-azure-devops NPM

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.

Upstream

This project was forked from Tiberriver256/mcp-server-azure-devops to add support for working with Time Logs and other fixes for our esoteric environment.

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
Access repository content via standardized resource URIs
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
Feature Modules: Organized by feature area (work-items, projects, repositories, etc.)
Request Handlers: Each feature module provides request identification and handling functions
Tool Handlers: Modular functions for each Azure DevOps operation
Configuration: Environment-based configuration for organization URL, PAT, etc.

The server uses a feature-based architecture where each feature area (like work-items, projects, repositories) is encapsulated in its own module. This makes the codebase more maintainable and easier to extend with new features.

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

Running with NPX

Usage with VS Code Copilot

To integrate with VS Code Copilot, add the following configurations to your configuration file at C:\Users\username\AppData\Roaming\Code\User\settings.json.

Personal Access Token (PAT) Authentication

{
  "mcp": {
    "inputs": [],
    "servers": {
      "azureDevOps": {
        "command": "npx",
        "args": ["-y", "@nisegami/mcp-server-azure-devops@latest"],
        "env": {
          "AZURE_DEVOPS_USERNAME": "your-username",
          "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization",
          "AZURE_DEVOPS_AUTH_METHOD": "pat",
          "AZURE_DEVOPS_PAT": "<YOUR_PAT>",
          "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name",
          "NODE_TLS_REJECT_UNAUTHORIZED": "0"
        }
      }
    }
  }
}

For detailed configuration instructions and more authentication options, see the Authentication Guide.

Usage with Claude Desktop/Cursor AI

To integrate with Claude Desktop or Cursor AI, add the following configurations to your configuration file.

Personal Access Token (PAT) Authentication

{
  "mcpServers": {
    "azureDevOps": {
      "command": "npx",
      "args": ["-y", "@nisegami/mcp-server-azure-devops"],
      "env": {
        "AZURE_DEVOPS_USERNAME": "your-username",
        "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization",
        "AZURE_DEVOPS_AUTH_METHOD": "pat",
        "AZURE_DEVOPS_PAT": "<YOUR_PAT>",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name",
        "NODE_TLS_REJECT_UNAUTHORIZED": "0"
      }
    }
  }
}

For detailed configuration instructions and more authentication options, see the Authentication Guide.

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

Example configuration files for each authentication method are available in the examples directory.

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.

Organization Tools

list_organizations: List all accessible organizations

Project Tools

list_projects: List all projects in an organization
get_project: Get details of a specific project
get_project_details: Get comprehensive details of a project including process, work item types, and teams

Repository Tools

list_repositories: List all repositories in a project
get_repository: Get details of a specific repository
get_repository_details: Get detailed information about a repository including statistics and refs
get_file_content: Get content of a file or directory from a repository

Work Item Tools

get_work_item: Retrieve a work item by ID
create_work_item: Create a new work item
update_work_item: Update an existing work item
list_work_items: List work items in a project
manage_work_item_link: Add, remove, or update links between work items

Pipelines Tools

list_pipelines: List pipelines in a project
get_pipeline: Get details of a specific pipeline
trigger_pipeline: Trigger a pipeline run with customizable parameters

Wiki Tools

get_wikis: List all wikis in a project
get_wiki_page: Get content of a specific wiki page as plain text

Time Log Tools

create_time_log: Create a new time log entry for a work item
read_time_logs: Read time log entries with optional filtering

Pull Request Tools

create_pull_request - Create a new pull request
list_pull_requests - List pull requests in a repository
add_pull_request_comment - Add a comment to a pull request
get_pull_request_comments - Get comments from a pull request
update_pull_request - Update an existing pull request (title, description, status, draft state, reviewers, work items)

For comprehensive documentation on all tools, see the Tools Documentation.