MCP Server Azure Devops
An MCP server implementation for Azure DevOps that provides a standardized protocol for AI assistants to access the Azure DevOps API
rating : 2 points
downloads : 6.2K
What is the Azure DevOps MCP Server?
This is a server implementation based on the Model Context Protocol (MCP) standard, specifically designed for Azure DevOps. It acts as a bridge between AI assistants (such as Claude) and the Azure DevOps API, allowing AI to securely access and manage Azure DevOps resources through natural language.How to use the Azure DevOps MCP Server?
You can start the server using a simple command-line tool (npx), and then configure your AI client (such as Claude Desktop or Cursor AI) to connect to the server. The server supports multiple authentication methods, including Personal Access Tokens (PAT) and Azure Identity authentication.Use cases
Suitable for scenarios where users want to quickly query and operate on Azure DevOps resources through natural language, such as: developers creating work items through chat, project managers querying project progress, and teams managing code repositories through conversations.Main features
Work item management
Supports creating, querying, updating, and linking work items (such as bugs, tasks, user stories, etc.)
Code repository access
Allows browsing repository content, retrieving file content, creating branches, and creating pull requests
Pipeline control
Supports listing pipelines, getting details, and triggering pipeline runs
Search function
Provides cross-project search capabilities for code, wikis, and work items
Advantages
Standardized interface: Adopts the MCP protocol and is compatible with multiple AI assistants
Secure authentication: Supports multiple authentication methods, including PAT and Azure Identity authentication
Comprehensive functionality: Covers the main functional modules of Azure DevOps
Easy integration: Can be integrated with existing AI tools through simple configuration
Limitations
Requires basic Azure DevOps permission configuration
Some advanced features require administrator permissions
Performance is limited by the response speed of the Azure DevOps API
How to use
Installation preparation
Ensure that Node.js (v16+) and npm/yarn are installed, and you have an Azure DevOps account
Select an authentication method
Prepare a Personal Access Token (PAT) or ensure that you are logged in to the Azure CLI (az login)
Configure the AI client
Add the server configuration to the configuration file of Claude Desktop or Cursor AI
Start and use
Start the AI client, and now you can interact with Azure DevOps through natural language
Usage examples
Query project progress
The product manager wants to know all incomplete work items in the current iteration
Create a bug report
The tester found a bug and wants to create a work item directly through chat
Get a code file
The developer wants to quickly view the source code of an API implementation
Frequently Asked Questions
What permissions do I need to use this service?
What authentication methods are supported?
How do I ensure the security of my data?
Will this service store my Azure DevOps data?
Which AI assistants are supported?
Related resources
Model Context Protocol official website
Official documentation and specifications for the MCP protocol
Azure DevOps REST API reference
Official Azure DevOps API documentation
GitHub repository
Project source code and issue tracking
Authentication configuration guide
Detailed configuration instructions for authentication methods

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