AdoPRKit FAQs

Question 1

What specific Azure DevOps PR actions can I perform using AdoPRKit?

Accepted Answer

With AdoPRKit, you can create new pull requests, add comments and review threads, view code diffs and changed files, link relevant work items, and update the status of PRs (e.g., draft, publish, abandon) directly from your AI assistant.

Question 2

What is AdoPRKit?

Accepted Answer

AdoPRKit is a Model Context Protocol (MCP) server designed to integrate Azure DevOps Pull Request management directly into AI coding assistants, enabling developers to create, review, and manage PRs seamlessly from their AI environment.

Question 3

How does AdoPRKit connect to AI coding assistants?

Accepted Answer

AdoPRKit leverages the Model Context Protocol (MCP) to expose Azure DevOps PR functionalities to compatible AI coding assistants. It can be set up locally or as a remote SSE server, allowing the AI to invoke its tools for PR management.

Question 4

Can I deploy AdoPRKit as a remote service?

Accepted Answer

Yes, AdoPRKit supports deployment as a remote SSE (Server-Sent Events) server. This allows AI clients that support `serverUrl` or a bridge command to connect to a hosted instance, providing flexibility for various development setups.

Question 5

What are the prerequisites for setting up AdoPRKit?

Accepted Answer

To use AdoPRKit, you need Python 3.10+ and an Azure DevOps Personal Access Token (PAT) configured with 'Code (Read & Write)' and 'Pull Request Threads (Read & Write)' permissions.

AdoPRKit

AdoPRKit

Key Features

Use Cases

Key Features

Use Cases