Azdo MCP
An MCP server that provides integration with Azure DevOps, supporting the management of work items, pull requests, and Wiki pages.
2.5 points
6.5K

What is the Azure DevOps MCP Server?

This is a middleware service based on the Model Context Protocol (MCP) that allows an AI assistant to interact directly with the Azure DevOps platform. It acts as a bridge between the AI system and Azure DevOps, enabling the AI to perform development and operations tasks such as creating work items and managing code reviews.

How to use the Azure DevOps MCP Server?

Add the server to your AI assistant environment through a simple JSON configuration, and then the AI can use natural language instructions to operate Azure DevOps resources. For example, 'Please create a new task for login page optimization' or 'Show all pending pull requests'.

Use cases

It is particularly suitable for scenarios where development teams want to automate daily Azure DevOps operations through AI, such as task tracking, code review collaboration, or document maintenance.

Main features

Work item management
Supports creating, querying, and retrieving Azure DevOps work items (tasks, bugs, user stories, etc.)
Pull request operations
Complete PR lifecycle management, including creation, commenting, viewing differences, and status tracking
Wiki page management
Supports creating and editing project Wiki pages to keep documentation in sync with development progress
Advantages
Seamlessly integrate Azure DevOps features into the AI assistant workflow
Complete complex operations through natural language, reducing the technical threshold
Support the most commonly used scenarios for work item, code review, and document management in teams
Limitations
Requires valid Azure DevOps access permissions and a PAT token
The current version does not support the extension of custom work item fields
Large-scale operations may require performance optimization

How to use

Install dependencies
Ensure that the Node.js environment is installed, and then run npm to install the required dependency packages
Configure environment variables
Create a.env file to set your Azure DevOps connection information
Add to the AI assistant
According to the AI assistant platform you are using (VSCode/Cursor, etc.), add the MCP server settings to the configuration file

Usage examples

Daily task management
The AI assistant automatically creates and assigns tasks based on the morning meeting discussion
Code review assistance
The AI automatically generates PR comments and marks the code lines that need attention

Frequently Asked Questions

How to obtain an Azure DevOps PAT token?
Which work item types are supported?
How to switch between multiple projects?

Related resources

Azure DevOps REST API documentation
Official API reference documentation
MCP protocol specification
Official specification of the Model Context Protocol
Example code repository
Contains more configuration examples and extended use cases

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "azure-devops": {
      "command": "node",
      "args": ["/path/to/azure-devops-mcp/build/index.js"],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "your-org-url",
        "AZURE_DEVOPS_PAT": "your-pat",
        "AZURE_DEVOPS_PROJECT": "your-project",
        "AZURE_DEVOPS_REPOSITORY": "your-repo"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "azure-devops": {
      "command": "node",
      "args": ["C:/path/to/azure-devops-mcp/build/index.js"],
      "env": {
        "AZURE_DEVOPS_ORG_URL": "your-org-url",
        "AZURE_DEVOPS_PAT": "your-pat",
        "AZURE_DEVOPS_PROJECT": "your-project",
        "AZURE_DEVOPS_REPOSITORY": "your-repo"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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