Microsoft has open sourced its Azure MCP Server v1.0, enabling AI agents to communicate directly with Azure services under the open Model Context Protocol.
Microsoft has released the stable version 1.0.0 of Azure MCP Server, implementing the Model Context Protocol (MCP) to serve as an interface between AI agents and Azure services. The move enables developers to query, manage, and automate Azure cloud resources using natural language or code. Significantly, Microsoft has open-sourced the entire project, making both documentation and source code available on GitHub.
The launch underscores Microsoft’s growing commitment to open-source collaboration. The Azure MCP Server allows developers to customise, extend, and integrate MCP not only with Azure-based AI frameworks but also with third-party systems. The underlying Model Context Protocol, an open standard, unifies communication between Large Language Models (LLMs) and backend systems, regardless of the agent frameworks used. This open-source release invites the wider AI and DevOps community to build, test, and contribute integrations across multiple cloud ecosystems.
The server currently supports over 47 Azure services, including Azure AI Foundry, AI Search, Event Hubs, Service Bus, PostgreSQL, Kusto, Function Apps, Storage, and Log Analytics. It features 170 structured command functions and offers three operational modes: namespace, full activation, or selective functions, designed to simplify onboarding and testing.
Developers can access a Docker image through Microsoft’s container registry for CI/CD pipeline integration, alongside extensions for Visual Studio Code, Visual Studio, and IntelliJ. Security-critical operations rely on mandatory user confirmations, while .NET Ahead-of-Time (AOT) compilation enhances performance efficiency.
According to Microsoft, future updates will include closer integration with Azure tools and extended support for container workloads, thereby strengthening open-source collaboration in AI-cloud interoperability.
