Azure DevOps MCP Server
This MCP server for Azure DevOps bridges AI assistants and Azure DevOps resources, allowing secure and standardized access to projects, work items, repositories, pull requests, and workflows through natural language commands.
Added on:
Created by:
Apr 26 2025
This MCP server for Azure DevOps bridges AI assistants and Azure DevOps resources, allowing secure and standardized access to projects, work items, repositories, pull requests, and workflows through natural language commands.
Added on:
Created by:
Apr 26 2025
Micah Rairdon
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What is Azure DevOps MCP Server?
The Azure DevOps MCP Server implements the Model Context Protocol (MCP) to facilitate AI assistants' interaction with Azure DevOps. It enables secure access and management of Azure DevOps resources like projects, work items, repositories, pull requests, and pipelines. The server acts as a middleware, translating natural language requests into API calls, supporting authentication via PAT, Azure Identity, or Azure CLI. It provides tools for creating, updating, and retrieving DevOps data, automating workflows, and integrating AI automation into development processes. Its modular structure ensures scalability and ease of extension, making DevOps tasks more accessible through AI-driven interfaces.
Who will use Azure DevOps MCP Server?
- Azure DevOps users
- Software development teams
- AI developers integrating DevOps automation
- DevOps engineers
- Project managers leveraging AI workflows
How to use the Azure DevOps MCP Server?
- Step1: Configure environment variables with your Azure DevOps organization URL and authentication method.
- Step2: Install the MCP server, selecting either PAT, Azure Identity, or Azure CLI for authentication.
- Step3: Launch the MCP server using npm or npx commands as specified in the documentation.
- Step4: Connect your AI assistant or tool (like Claude Desktop or Cursor AI) to the server using the provided configuration example.
- Step5: Use natural language commands or API requests to manage projects, work items, repositories, pull requests, and workflows.
- Step6: Monitor and troubleshoot using logs and support documentation as needed.
Azure DevOps MCP Server's Core Features & Benefits
The Core Features
- Access and manage Azure DevOps projects, work items, repositories, and pipelines
- Create, update, and retrieve work items and pull requests
- Execute DevOps workflows via natural language commands
- Authenticate securely using PAT, Azure Identity, or Azure CLI
- Support for multiple feature modules for extendable functionality
The Benefits
- Streamlines DevOps operations with AI integration
- Secure and standardized API interactions
- Enhances automation and reduces manual effort
- Flexible authentication options
- Modular and scalable architecture
Azure DevOps MCP Server's Main Use Cases & Applications
- Automating project management tasks via AI commands
- Integrating AI-driven workflows into CI/CD pipelines
- Enabling AI assistants to handle pull request and work item management
- Facilitating secure access to repositories and pipelines for automation
- Supporting AI-powered DevOps reporting and analytics
FAQs of Azure DevOps MCP Server
Developer
- Tiberriver256
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