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 using WIQL
Planned features:
- Work Item Management : Create and update work items
- 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 3.9+
- 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/your-username/mcp-azure-devops.git
cd mcp-azure-devops
# Install in development mode
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 Pull Request (Coming Soon)
Create a pull request from feature/new-login-page to main with the title "Implement new login page"
Check Pipeline Status (Coming Soon)
What's the status of the latest build for the main branch?
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
