RyanCardin15 / AzureDevOps-MCP

Repository from Github https://github.comRyanCardin15/AzureDevOps-MCPRepository from Github https://github.comRyanCardin15/AzureDevOps-MCP

Azure DevOps MCP Integration

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A powerful integration for Azure DevOps that provides seamless access to work items, repositories, projects, boards, and sprints through the Model Context Protocol (MCP) server.

Overview

This server provides a convenient API for interacting with Azure DevOps services, enabling AI assistants and other tools to manage work items, code repositories, boards, sprints, and more. Built with the Model Context Protocol, it provides a standardized interface for communicating with Azure DevOps.

Demo

Azure DevOps MCP Demo

Features

The integration is organized into eight main tool categories:

Work Item Tools

  • List work items using WIQL queries
  • Get work item details by ID
  • Search for work items
  • Get recently updated work items
  • Get your assigned work items
  • Create new work items
  • Update existing work items
  • Add comments to work items
  • Update work item state
  • Assign work items
  • Create links between work items
  • Bulk create/update work items

Boards & Sprints Tools

  • Get team boards
  • Get board columns
  • Get board items
  • Move cards on boards
  • Get sprints
  • Get the current sprint
  • Get sprint work items
  • Get sprint capacity
  • Get team members

Project Tools

  • List projects
  • Get project details
  • Create new projects
  • Get areas
  • Get iterations
  • Create areas
  • Create iterations
  • Get process templates
  • Get work item types
  • Get work item type fields

Git Tools

  • List repositories
  • Get repository details
  • Create repositories
  • List branches
  • Search code
  • Browse repositories
  • Get file content
  • Get commit history
  • List pull requests
  • Create pull requests
  • Get pull request details
  • Get pull request comments
  • Approve pull requests
  • Merge pull requests

Testing Capabilities Tools

  • Run automated tests
  • Get test automation status
  • Configure test agents
  • Create test data generators
  • Manage test environments
  • Get test flakiness analysis
  • Get test gap analysis
  • Run test impact analysis
  • Get test health dashboard
  • Run test optimization
  • Create exploratory sessions
  • Record exploratory test results
  • Convert findings to work items
  • Get exploratory test statistics

DevSecOps Tools

  • Run security scans
  • Get security scan results
  • Track security vulnerabilities
  • Generate security compliance reports
  • Integrate SARIF results
  • Run compliance checks
  • Get compliance status
  • Create compliance reports
  • Manage security policies
  • Track security awareness
  • Rotate secrets
  • Audit secret usage
  • Configure vault integration

Artifact Management Tools

  • List artifact feeds
  • Get package versions
  • Publish packages
  • Promote packages
  • Delete package versions
  • List container images
  • Get container image tags
  • Scan container images
  • Manage container policies
  • Manage universal packages
  • Create package download reports
  • Check package dependencies

AI-Assisted Development Tools

  • Get AI-powered code reviews
  • Suggest code optimizations
  • Identify code smells
  • Get predictive bug analysis
  • Get developer productivity metrics
  • Get predictive effort estimations
  • Get code quality trends
  • Suggest work item refinements
  • Suggest automation opportunities
  • Create intelligent alerts
  • Predict build failures
  • Optimize test selection

Installation

Installing via Smithery

To install azuredevops-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @RyanCardin15/azuredevops-mcp --client claude

Prerequisites

  • Node.js (v16 or later)
  • TypeScript (v4 or later)
  • An Azure DevOps account with a Personal Access Token (PAT)

Setup

  1. Clone the repository:

    git clone <repository-url>
    cd AzureDevOps
  2. Install dependencies:

    npm install
  3. Configure environment variables (create a .env file or set them directly):

    AZURE_DEVOPS_ORG_URL=https://dev.azure.com/your-organization
    AZURE_DEVOPS_PERSONAL_ACCESS_TOKEN=your-personal-access-token
    AZURE_DEVOPS_PROJECT=your-default-project
    
  4. Build the project:

    npm run build

    If you encounter TypeScript errors but want to proceed anyway:

    npm run build:ignore-errors
  5. Start the server:

    npm run start

Configuration

Personal Access Token (PAT)

You'll need to create a Personal Access Token with appropriate permissions:

  1. Go to your Azure DevOps organization
  2. Click on your profile icon in the top right
  3. Select "Personal access tokens"
  4. Click "New Token"
  5. Give it a name and select the appropriate scopes:
    • Work Items: Read & Write
    • Code: Read & Write
    • Project and Team: Read & Write
    • Build: Read
    • Release: Read

Environment Variables

The server can be configured using the following environment variables:

Variable Description Required Default
AZURE_DEVOPS_ORG_URL URL of your Azure DevOps organization Yes -
AZURE_DEVOPS_PERSONAL_ACCESS_TOKEN Your personal access token Yes -
AZURE_DEVOPS_PROJECT Default project to use Yes -
ALLOWED_TOOLS Allowed tools. Separate with comma No - (All tools allowed)

Usage

Once the server is running, you can interact with it using the MCP protocol. The server exposes several tools for different Azure DevOps functionalities.

Available Tools

Note: By default, only a subset of tools are registered in the index.ts file to keep the initial implementation simple. See the Tool Registration section for information on how to register additional tools.

Example: List Work Items

{
  "tool": "listWorkItems",
  "params": {
    "query": "SELECT [System.Id], [System.Title], [System.State] FROM WorkItems WHERE [System.State] = 'Active' ORDER BY [System.CreatedDate] DESC"
  }
}

Example: Create a Work Item

{
  "tool": "createWorkItem",
  "params": {
    "workItemType": "User Story",
    "title": "Implement new feature",
    "description": "As a user, I want to be able to export reports to PDF.",
    "assignedTo": "john@example.com"
  }
}

Example: List Repositories

{
  "tool": "listRepositories",
  "params": {
    "projectId": "MyProject"
  }
}

Example: Create a Pull Request

{
  "tool": "createPullRequest",
  "params": {
    "repositoryId": "repo-guid",
    "sourceRefName": "refs/heads/feature-branch",
    "targetRefName": "refs/heads/main",
    "title": "Add new feature",
    "description": "This PR adds the export to PDF feature"
  }
}

Architecture

The project is structured as follows:

  • src/
    • Interfaces/: Type definitions for parameters and responses
    • Services/: Service classes for interacting with Azure DevOps APIs
    • Tools/: Tool implementations that expose functionality to clients
    • index.ts: Main entry point that registers tools and starts the server
    • config.ts: Configuration handling

Service Layer

The service layer handles direct communication with the Azure DevOps API:

  • WorkItemService: Work item operations
  • BoardsSprintsService: Boards and sprints operations
  • ProjectService: Project management operations
  • GitService: Git repository operations
  • TestingCapabilitiesService: Testing capabilities operations
  • DevSecOpsService: DevSecOps operations
  • ArtifactManagementService: Artifact management operations
  • AIAssistedDevelopmentService: AI-assisted development operations

Tools Layer

The tools layer wraps the services and provides a consistent interface for the MCP protocol:

  • WorkItemTools: Tools for work item operations
  • BoardsSprintsTools: Tools for boards and sprints operations
  • ProjectTools: Tools for project management operations
  • GitTools: Tools for Git operations
  • TestingCapabilitiesTools: Tools for testing capabilities operations
  • DevSecOpsTools: Tools for DevSecOps operations
  • ArtifactManagementTools: Tools for artifact management operations
  • AIAssistedDevelopmentTools: Tools for AI-assisted development operations

Tool Registration

The MCP server requires tools to be explicitly registered in the index.ts file. By default, only a subset of all possible tools are registered to keep the initial implementation manageable.

To register more tools:

  1. Open the src/index.ts file
  2. Add new tool registrations following the pattern of existing tools
  3. Build and restart the server

A comprehensive guide to tool registration is available in the TOOL_REGISTRATION.md file in the repository.

Note: When registering tools, be careful to use the correct parameter types, especially for enum values. The type definitions in the Interfaces directory define the expected types for each parameter. Using the wrong type (e.g., using z.string() instead of z.enum() for enumerated values) will result in TypeScript errors during build.

Example of registering a new tool:

server.tool("searchCode", 
  "Search for code in repositories",
  {
    searchText: z.string().describe("Text to search for"),
    repositoryId: z.string().optional().describe("ID of the repository")
  },
  async (params, extra) => {
    const result = await gitTools.searchCode(params);
    return {
      content: result.content,
      rawData: result.rawData,
      isError: result.isError
    };
  }
);

Troubleshooting

Common Issues

Authentication Errors

  • Ensure your Personal Access Token is valid and has the required permissions
  • Check that the organization URL is correct

TypeScript Errors During Build

  • Use npm run build:ignore-errors to bypass TypeScript errors
  • Check for missing or incorrect type definitions

Runtime Errors

  • Verify that the Azure DevOps project specified exists and is accessible

Contributing

Contributions are welcome! Here's how you can contribute:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Please ensure your code passes linting and includes appropriate tests.

About

License:MIT License


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