MCP cover image
See in Github
2025-04-10

Un serveur de protocole de contexte modèle (MCP) permettant aux assistants AI d'interagir avec les services Azure DevOps via Python SDK.

2

Github Watches

12

Github Forks

23

Github Stars

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

相关推荐

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Contraband Interactive
  • Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.

  • rustassistant.com
  • Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • Mintplex-Labs
  • L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.

  • n8n-io
  • Plateforme d'automatisation de workflow à code équitable avec des capacités d'IA natives. Combinez le bâtiment visuel avec du code personnalisé, de l'auto-hôte ou du cloud, 400+ intégrations.

  • ravitemer
  • Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)

  • WangRongsheng
  • 🧑‍🚀 全世界最好的 LLM 资料总结 (数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Résumé des meilleures ressources LLM du monde.

  • jae-jae
  • MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.

  • patruff
  • Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle

  • open-webui
  • Interface AI conviviale (prend en charge Olllama, Openai API, ...)

  • pontusab
  • La communauté du curseur et de la planche à voile, recherchez des règles et des MCP

    Reviews

    5 (1)
    Avatar
    user_TAjw2wAS
    2025-04-17

    As a devoted user of mcp-azure-devops, I’m thoroughly impressed with its seamless integration and functionality. Vortiago has done an excellent job creating a tool that simplifies Azure DevOps tasks and enhances productivity. It's user-friendly and efficient, making my workflow smoother. Highly recommend it to anyone looking to optimize their DevOps processes!