Azure DevOps reference MCP server that exposes Azure DevOps APIs to AI assistants through the Model Context Protocol.
https://github.com/Tiberriver256/mcp-server-azure-devopsYou're already using Claude or Cursor to write code and solve problems. But every time you need to check work item status, create a pull request, or search through your Azure DevOps repos, you're breaking your flow to manually navigate through the web interface.
This MCP server eliminates that friction entirely.
Your AI assistant knows nothing about your actual codebase, active work items, or current sprint. When you ask it to help with a bug fix, it can't see the related work item, browse your repo structure, or understand your branching strategy. You end up manually feeding it context piece by piece.
Meanwhile, you're still manually:
Your AI assistant gets direct, real-time access to your Azure DevOps organization. Now you can:
Skip the web interface entirely:
"Create a work item for the login bug we discussed, assign it to me, and link it to the authentication epic"
Get intelligent code analysis:
"Search our codebase for similar authentication patterns and show me how we handled token refresh in other services"
Streamline pull request workflows:
"Create a PR for my feature branch, add the standard reviewers, and link it to work item #1234"
Get instant project insights:
"What work items are blocking our current sprint? Show me the repository structure for the payments service."
No complex setup or deployment required. Add this to your Claude Desktop config and you're running:
{
"mcpServers": {
"azureDevOps": {
"command": "npx",
"args": ["-y", "@tiberriver256/mcp-server-azure-devops"],
"env": {
"AZURE_DEVOPS_ORG_URL": "https://dev.azure.com/your-organization",
"AZURE_DEVOPS_AUTH_METHOD": "azure-identity",
"AZURE_DEVOPS_DEFAULT_PROJECT": "your-project-name"
}
}
}
}
Uses your existing Azure CLI login - no additional tokens to manage if you're already authenticated.
This isn't just about querying data. You can execute complete DevOps workflows through conversation:
Sprint planning assistance:
Code review optimization:
Repository exploration:
Supports three authentication methods without forcing you to change your current setup:
The server handles all the Azure DevOps API complexity - you just talk to your AI in plain English.
AI assistants are becoming central to development workflows, but they're still isolated from your actual development tools. This server bridges that gap for Azure DevOps specifically.
With 270+ stars and active development, it's already proven valuable for teams who've made the switch. The question isn't whether AI-DevOps integration is coming - it's whether you'll be ahead of the curve or catching up later.
Try it for a single conversation. Ask your AI to create a work item or search your codebase. You'll immediately feel the difference between explaining your project structure versus having your AI already understand it.
Your DevOps workflow just got conversational.