A few weeks ago at BUILD, we announced the upcoming Azure DevOps MCP Server:

👉 Azure DevOps with GitHub Repositories – Your path to Agentic AI

Today, we’re excited to share that the local Azure DevOps MCP Server is now available in public preview. This lets GitHub Copilot in Visual Studio and Visual Studio Code access and interact with your Azure DevOps environment, including work items, pull requests, test plans, builds, releases, and wiki pages.

🤷‍♂️ What is an MCP Server?

A local MCP Server (Model Context Provider) is a tool that sits between your AI assistant (like GitHub Copilot) and your Azure DevOps organization. Its job is to inject rich, real-time context such as work items, pull requests, test plans, etc., into the prompts sent to the LLM. This lets the assistant give better, more accurate, and more relevant answers tailored to your specific Azure DevOps project.

Unlike cloud-based solutions, a local MCP Server runs inside your network or development environment. That means it can safely access private data and tools without that data ever leaving your system.

📽️ Example

You can find several example videos and prompts in the how-to guide. One fun example shows how you can take a user story, generate a set of test cases with detailed steps based on the work item description, and then link those test cases back to the original user story.

If you have ideas or need examples for specific scenarios, feel free to create an issue in the repository.

⭐ Getting Started

Getting started is relatively easy, but it does require a few setup steps. Here is a quick overview of the steps, but we do recommend you follow the full installation and setup instructions provided in the repository to ensure everything is configured correctly.

1. Navigate to the Azure DevOps MCP Server repository.
2. Sign in using the Azure CLI: az login
3. Copy and paste the configuration into your local .vscode\mcp.json file.
4. Start the MCP Server and begin using the tools.

💬 Feedback

We’re actively collecting feedback throughout the public preview stage. If you run into any issues or have suggestions, we’d love to hear from you. Please create or comment on Issues directly in the Azure DevOps MCP Server repository.