Azure DevOps MCP Server

Azure DevOps MCP Server

Standardized AI access to Azure DevOps via Model Context Protocol.

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Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

Key Features

Implements Model Context Protocol (MCP) for Azure DevOps
Supports access and management of projects, work items, repositories, pull requests, and pipelines
Secure authentication via PAT, Azure Identity, and Azure CLI
Feature-based modular architecture
Request and tool handlers for specific DevOps operations
Configuration through environment variables
Natural language execution of common DevOps workflows
Resource access via standardized URIs
Easy integration with AI assistants such as Claude Desktop and Cursor AI
Extensive documentation for authentication and setup

Use Cases

Allowing AI assistants to create and manage Azure DevOps work items
Facilitating automated branch and pull request creation via AI
Enabling secure authentication for AI-DevOps interactions
Providing access to repository content for AI tools
Automating project management tasks in Azure DevOps
Enabling natural language execution of pipelines and workflows
Supporting role-based access to DevOps APIs for models
Extending DevOps operations with programmable modular tool handlers
Enhancing productivity with AI-driven DevOps resource management
Integrating with existing AI tooling using MCP-standard interfaces

README

ℹ️ DISCUSSION: Microsoft launched an official ADO MCP Server! 🎉🎉🎉

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
  • 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 Claude Desktop/Cursor AI

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

Azure Identity Authentication

Be sure you are logged in to Azure CLI with az login then add the following:

json
{
  "mcpServers": {
    "azureDevOps": {
      "command": "npx",
      "args": ["-y", "@tiberriver256/mcp-server-azure-devops"],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization",
        "AZURE_DEVOPS_AUTH_METHOD": "azure-identity",
        "AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name"
      }
    }
  }
}

Personal Access Token (PAT) Authentication

json
{
  "mcpServers": {
    "azureDevOps": {
      "command": "npx",
      "args": ["-y", "@tiberriver256/mcp-server-azure-devops"],
      "env": {
        "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"
      }
    }
  }
}

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

  1. Personal Access Token (PAT) - Simple token-based authentication
  2. Azure Identity (DefaultAzureCredential) - Flexible authentication using the Azure Identity SDK
  3. 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) - case-insensitive No azure-identity
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_TENANT_ID Azure AD tenant ID (for service principals) Only with service principals -
AZURE_CLIENT_ID Azure AD application ID (for service principals) Only with service principals -
AZURE_CLIENT_SECRET Azure AD client secret (for service principals) Only with service principals -
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.

User Tools

  • get_me: Get details of the authenticated user (id, displayName, email)

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

Search Tools

  • search_code: Search for code across repositories in a project
  • search_wiki: Search for content across wiki pages in a project
  • search_work_items: Search for work items across projects in Azure DevOps

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

Pull Request Tools

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

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for contribution guidelines.

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License

MIT

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Repository Owner

Repository Details

Language TypeScript
Default Branch main
Size 784 KB
Contributors 12
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

TypeScript
97.15%
Shell
2.21%
JavaScript
0.64%

Tags

Topics

ai azure-devops claude copilot cursor mcp mcp-server vscode

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