MCP Azure DevOps Server
About
A Model Context Protocol (MCP) server enabling AI assistants to interact with Azure DevOps services via Python SDK.
Details
- Author
- Vortiago
- GitHub stars
- 79
- Downloads
- 386
- Categories
- Cloud Service
Jump to
- Query work items using WIQL (Work Item Query Language)
- Create, update, and view work item details
- Add and retrieve comments on work items
- Establish parent-child relationships between work items
- List projects, teams, team members, area paths, and iterations
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Azure DevOps ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Requires Python 3.10+, an Azure DevOps account, and a Personal Access Token (PAT) with the necessary scopes. Install via pip install mcp-azure-devops or by cloning the repo and running uv pip install -e ".[dev]". Configure a .env file with AZURE_DEVOPS_PAT and AZURE_DEVOPS_ORGANIZATION_URL. Run in development mode with mcp dev src/mcp_azure_devops/server.py or install in Claude Desktop with mcp install src/mcp_azure_devops/server.py --name "Azure DevOps Assistant".
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp azure devops server": {
"mcp-azure-devops": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
".[dev]"
]
}
}
}
}McpServers
{
"mcp-azure-devops": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
".[dev]"
]
}
}MCP Azure DevOps Server
> ⚠️ NOTICE: Official Server Available
>
> Please use the official Microsoft Azure DevOps MCP server instead:
>
> https://github.com/microsoft/azure-devops-mcp
>
> This repository is no longer maintained. The official Microsoft server provides better support, ongoing maintenance, and the latest features.
---
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 itemsProject 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 configurationsPlanned 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
```bash
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