Azure DevOps MCP Server

Azure DevOps MCP Server

MCP server that provides tools to interact with Azure DevOps, including querying work items, repositories, pull requests, builds, commits, and creating work items via a standardized interface.

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Azure DevOps MCP Server

This is a Model Context Protocol (MCP) server that provides access to Azure DevOps resources and tools through a standardized interface.

Features

The server provides the following Azure DevOps tools:

  • get_workitems - Retrieve work items using WIQL queries
  • get_repositories - List Git repositories
  • get_pullrequests - Get pull requests from repositories
  • get_builds - Retrieve build pipeline information
  • get_commits - Get Git commits from repositories
  • create_workitem - Create new work items (bugs, features, tasks, etc.)

Prerequisites

  1. Azure DevOps Account: You need access to an Azure DevOps organization
  2. Personal Access Token: Generate a PAT with the following scopes:
    • Work Items (Read & Write)
    • Code (Read)
    • Build (Read)
    • Release (Read)

Setup Instructions

1. Configure Environment Variables

Edit the .env file in the project root and replace the placeholder values:

# Your Azure DevOps organization name (e.g., "mycompany" for dev.azure.com/mycompany)
AZURE_DEVOPS_ORG=your-actual-organization

# Your Azure DevOps project name
AZURE_DEVOPS_PROJECT=your-actual-project

# Your Azure DevOps Personal Access Token
AZURE_DEVOPS_TOKEN=your-actual-personal-access-token

2. Generate Personal Access Token

  1. Go to your Azure DevOps organization: https://dev.azure.com/{your-org}/_usersSettings/tokens
  2. Click "New Token"
  3. Set the following scopes:
    • Work Items: Read & Write
    • Code: Read
    • Build: Read
    • Release: Read
  4. Copy the generated token and add it to your .env file

3. Test the Server

Run the server to test your configuration:

# Activate virtual environment
source azure-mcp-venv/bin/activate

# Run the server
python main.py

If successful, you should see: 🚀 Azure DevOps MCP Server running...

Running the MCP Server

Option 1: Terminal Interactive Client (Recommended for VPN environments)

If you're behind a VPN or can't connect through VS Code, you can use the interactive MCP client directly from the terminal:

# Navigate to the project directory
cd /Users/kshitijijari/Desktop/MySpace/MCP/azure-devops-mcp-server

# Activate the virtual environment
source azure-mcp-venv/bin/activate

# Run the interactive MCP client
python mcp_client.py

This will start an interactive menu with the following options:

  1. List available tools - See all Azure DevOps tools available
  2. Get work items - Run custom WIQL queries
  3. Get repositories - List Git repositories
  4. Get builds - View build pipeline information
  5. Get pull requests - View PRs from repositories
  6. Get commits - View Git commits
  7. Create work item - Create new work items
  8. Exit

Option 2: Direct MCP Server

Run the MCP server directly (for use with MCP clients):

# Navigate to the project directory
cd /Users/kshitijijari/Desktop/MySpace/MCP/azure-devops-mcp-server

# Activate the virtual environment
source azure-mcp-venv/bin/activate

# Run the MCP server
python main.py

Option 3: Using the startup script

# Make the script executable
chmod +x start_mcp_server.sh

# Run the startup script
./start_mcp_server.sh

Adding to MCP Client (VS Code/Cursor)

Option 1: Using the provided configuration

Copy the mcp_config.json file to your MCP client configuration directory and update the environment variables:

{
  "mcpServers": {
    "azure-devops": {
      "command": "python",
      "args": [
        "/Users/kshitijijari/Desktop/MySpace/MCP/azure-devops-mcp-server/main.py"
      ],
      "env": {
        "AZURE_DEVOPS_ORG": "your-actual-organization",
        "AZURE_DEVOPS_PROJECT": "your-actual-project",
        "AZURE_DEVOPS_TOKEN": "your-actual-personal-access-token"
      }
    }
  }
}

Option 2: Manual configuration

Add this to your MCP client configuration:

{
  "mcpServers": {
    "azure-devops": {
      "command": "python",
      "args": ["/absolute/path/to/your/azure-devops-mcp-server/main.py"],
      "env": {
        "AZURE_DEVOPS_ORG": "your-organization",
        "AZURE_DEVOPS_PROJECT": "your-project",
        "AZURE_DEVOPS_TOKEN": "your-personal-access-token"
      }
    }
  }
}

Option 3: Using the startup script

You can also use the provided startup script:

{
  "mcpServers": {
    "azure-devops": {
      "command": "/Users/kshitijijari/Desktop/MySpace/MCP/azure-devops-mcp-server/start_mcp_server.sh",
      "env": {
        "AZURE_DEVOPS_ORG": "your-organization",
        "AZURE_DEVOPS_PROJECT": "your-project",
        "AZURE_DEVOPS_TOKEN": "your-personal-access-token"
      }
    }
  }
}

Usage Examples

Terminal Interactive Client Examples

When using the interactive MCP client (python mcp_client.py), you can:

Get work items with custom queries:

  • Enter a WIQL query like: SELECT [System.Id], [System.Title], [System.State] FROM WorkItems WHERE [System.AssignedTo] = 'John Doe'
  • Or use the default query for recent work items

Get repositories:

  • Optionally filter by repository name
  • View all available Git repositories

Get builds:

  • Filter by build definition ID
  • Filter by status (inProgress, completed, all)
  • Set custom limits

Create work items:

  • Choose work item type (Bug, Feature, Task, User Story, Epic)
  • Set title, description, assignee, area path, and iteration path

MCP Client Integration Examples

Once configured, you can use the Azure DevOps tools in your MCP client:

Get Work Items

{
  "name": "get_workitems",
  "arguments": {
    "query": "SELECT [System.Id], [System.Title], [System.State] FROM WorkItems WHERE [System.TeamProject] = @project",
    "limit": 10
  }
}

Get Repositories

{
  "name": "get_repositories",
  "arguments": {}
}

Create Work Item

{
  "name": "create_workitem",
  "arguments": {
    "work_item_type": "Bug",
    "title": "New bug report",
    "description": "Description of the bug",
    "assigned_to": "user@example.com"
  }
}

Troubleshooting

Common Issues

  1. Authentication Error: Verify your Personal Access Token is correct and has the required scopes
  2. Organization/Project Not Found: Check that your organization and project names are spelled correctly
  3. Permission Denied: Ensure your PAT has the necessary permissions for the operations you're trying to perform

Debug Mode

To enable debug logging, modify the logging level in main.py:

logging.basicConfig(level=logging.DEBUG)

Security Notes

  • Never commit your .env file or Personal Access Token to version control
  • Use environment variables or secure configuration management in production
  • Regularly rotate your Personal Access Tokens
  • Use the principle of least privilege when setting token scopes

Support

For issues or questions:

  1. Check the Azure DevOps API documentation
  2. Verify your token permissions
  3. Test your connection using the Azure DevOps REST API directly

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