Azure DevOps Integration
STDIOMCP server enabling AI assistants to interact with Azure DevOps services.
MCP server enabling AI assistants to interact with Azure DevOps services.
A Model Context Protocol (MCP) server enabling AI assistants to interact with Azure DevOps services.
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.
Currently implemented:
Planned features:
# 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
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.
# 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"
Show me all active bugs assigned to me in the current sprint
Create a user story in the ProjectX with the title "Implement user authentication" and assign it to [email protected]
Change the status of bug #1234 to "Resolved" and add a comment explaining the fix
Show me all the team members in the "Core Development" team in the "ProjectX" project
List all projects in my organization and show me the iterations for the Development team
The project is structured into feature modules, each implementing specific Azure DevOps capabilities:
features/work_items
: Work item management functionalityfeatures/projects
: Project management capabilitiesfeatures/teams
: Team management featuresutils
: Common utilities and client initializationFor more information on development, see the CLAUDE.md file.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.