Microsoft has released the Azure DevOps local MCP Server as generally available, transitioning from public preview to production-ready status. The server enables AI assistants to access Azure DevOps data, including work items, pull requests, test plans, builds, and wikis. This allows IT professionals to automate DevOps workflows through natural language commands while maintaining data security within their local network.

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OpenAI has just released its first open-weight models, gpt-oss:20 and gpt-oss:120, enabling you to run these surprisingly powerful models locally, which benefits security and privacy. I downloaded gpt-oss:20 and tested it on my laptop using Ollama and within VS Code with GitHub Copilot. To my surprise, the 20 billion parameter model gpt-oss:20 responded to my prompt.

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VS Code version 1.102 introduced several useful new features in GitHub Copilot. Command allow/deny lists let you specify which commands the Copilot agent can execute without asking for permission. The resubmit feature enables you to edit a previous request and resubmit the prompt. Additionally, the new VS Code version includes various updates for managing MCP servers, including a curated catalog of MCP servers.

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The number of GitHub Copilot concepts continues to grow, and their similar names can easily confuse. This post offers an overview of all the concepts, along with a link to find more information. The main confusion stems from the Copilot tools on GitHub.com and GitHub Copilot in VS Code. Although there is some overlap, keeping these two areas separate is essential.

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Microsoft Azure MCP Server allows AI agents like VS Code GitHub Copilot in Agent Mode to communicate with your Azure resources through natural language prompts. Azure MCP Server supports services such as Storage, Cosmos DB, Key Vault, and Logs.

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