Skip to main content
Glama
Sign In
enesjakozh

MCP Azure DevOps Server

by Vortiago
Verified
GitHub
Python
MIT License
16
  • Linux
  • Apple
RedditDiscord
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Enables repository operations for Azure DevOps Git repositories, supporting features like pull request management (planned).

  • Allows installation of the MCP server package from PyPI, making deployment easier through standard Python package management.

  • Built using Python SDK for MCP implementation, requiring Python 3.9+ for server installation and operation.

MCP Azure DevOps Server

A Model Context Protocol (MCP) server enabling AI assistants to interact with Azure DevOps services.

Overview

This project implements a Model Context Protocol (MCP) server that allows AI assistants (like Claude) to interact with Azure DevOps, providing a bridge between natural language interactions and the Azure DevOps REST API.

Features

Currently implemented:

Work Item Management

  • Query Work Items: Search for work items using WIQL queries
  • Get Work Item Details: View complete work item information
  • Create Work Items: Add new tasks, bugs, user stories, and other work item types
  • Update Work Items: Modify existing work items' fields and properties
  • Add Comments: Post comments on work items
  • View Comments: Retrieve the comment history for a work item
  • Parent-Child Relationships: Establish hierarchy between work items

Project Management

  • Get Projects: View all accessible projects in the organization
  • Get Teams: List all teams within the organization
  • Team Members: View team membership information
  • Team Area Paths: Retrieve area paths assigned to teams
  • Team Iterations: Access team iteration/sprint configurations

Planned features:

  • Pipeline Operations: Query pipeline status and trigger new pipeline runs
  • Pull Request Handling: Create, update, and review Pull Requests
  • Sprint Management: Plan and manage sprints and iterations
  • Branch Policy Administration: Configure and manage branch policies

Getting Started

Prerequisites

  • Python 3.10+
  • Azure DevOps account with appropriate permissions
  • Personal Access Token (PAT) with necessary scopes for Azure DevOps API access

Installation

# Clone the repository git clone https://github.com/Vortiago/mcp-azure-devops.git cd mcp-azure-devops # Install in development mode uv pip install -e ".[dev]" # Install from PyPi pip install mcp-azure-devops

Configuration

Create a .env file in the project root with the following variables:

AZURE_DEVOPS_PAT=your_personal_access_token AZURE_DEVOPS_ORGANIZATION_URL=https://your-organization.visualstudio.com or https://dev.azure.com/your-organisation

Note: Make sure to provide the full URL to your Azure DevOps organization.

Running the Server

# Development mode with the MCP Inspector mcp dev src/mcp_azure_devops/server.py # Install in Claude Desktop mcp install src/mcp_azure_devops/server.py --name "Azure DevOps Assistant"

Usage Examples

Query Work Items

Show me all active bugs assigned to me in the current sprint

Create a Work Item

Create a user story in the ProjectX with the title "Implement user authentication" and assign it to john.doe@example.com

Update a Work Item

Change the status of bug #1234 to "Resolved" and add a comment explaining the fix

Team Management

Show me all the team members in the "Core Development" team in the "ProjectX" project

View Project Structure

List all projects in my organization and show me the iterations for the Development team

Development

The project is structured into feature modules, each implementing specific Azure DevOps capabilities:

  • features/work_items: Work item management functionality
  • features/projects: Project management capabilities
  • features/teams: Team management features
  • utils: Common utilities and client initialization

For more information on development, see the CLAUDE.md file.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

You must be authenticated.

A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Tools

View all tools

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

  1. Overview
    1. Features
      1. Work Item Management
      2. Project Management
    2. Getting Started
      1. Prerequisites
      2. Installation
      3. Configuration
      4. Running the Server
    3. Usage Examples
      1. Query Work Items
      2. Create a Work Item
      3. Update a Work Item
      4. Team Management
      5. View Project Structure
    4. Development
      1. Contributing
        1. License
          1. Acknowledgments

            Related Resources

            Appeared in Searches

            ID: 1t73gvug7p