AI Agent for Azure MCP Hub
Supercharge your AI agents with the Azure Model Context Protocol (MCP) Hub. Rapidly build, run, or reuse MCP servers on Azure, enabling agents to call real APIs with minimal effort. Integrate with C#, Python, Java, or JavaScript, leverage plug-and-play API servers, and connect to countless data and infrastructure sources seamlessly.
Launch Your Own MCP Server in Minutes
Host your own Model Context Protocol (MCP) server on Azure Functions with support for C#, Python, and TypeScript. Seamlessly connect your AI agents to real-world APIs with minimal setup and maximum scalability. Empower your development workflow with robust, language-agnostic server deployment.
- Multi-Language Support.
- Deploy MCP servers in C#, Python, or TypeScript directly on Azure Functions.
- Rapid Deployment.
- Set up and launch your own MCP server within minutes for immediate agent integration.
- Scalable Infrastructure.
- Azure-backed hosting ensures reliable, scalable API access for your agents.
- Open Source Templates.
- Start with ready-to-use templates from the Azure Samples GitHub for fast results.
Integrate AI Agents with Powerful SDKs
Build intelligent agents using official MCP SDKs available for C#, Python, TypeScript, and Java. Effortlessly connect with popular frameworks like OpenAI Agents, Semantic Kernel, LangChain.js, and Spring AI. Empower your agents to interact with real APIs using secure, standards-based communication.
- SDKs for Every Major Language.
- Access official SDKs for C#, Python, Java, and TypeScript to streamline agent development.
- AI Framework Integrations.
- Integrate with OpenAI Agents, Semantic Kernel, LangChain.js, and Spring AI using MCP tools.
- Secure API Access.
- Connect your agents securely to real-world APIs with standards-based authentication.
Plug-and-Play API Servers for Data & DevOps
Accelerate your workflow by leveraging community-maintained, plug-and-play MCP servers for popular data and infrastructure APIs. Instantly empower your agents to interact with Redis, PostgreSQL, MySQL, MongoDB, Azure CLI, Kubernetes, GitHub, Azure DevOps, and more—without building custom integrations.
- Data API Connectivity.
- Enable agent access to Redis, PostgreSQL, MySQL, MongoDB, and Azure Data Explorer using ready-made MCP servers.
- DevOps & Infra APIs.
- Control Azure CLI, Kubernetes, GitHub, and Azure DevOps through conversational agents.
- Community-Driven Solutions.
- Leverage open source, community-maintained MCP servers for instant integration.
Supercharge Your AI Agents with Azure MCP
Quickly build, deploy, and connect AI agents to real APIs using Model Context Protocol. Explore SDKs, ready-made servers, and seamless integrations — accelerate your AI development today!
What is Azure MCP Server
Azure MCP Server is a Microsoft service designed to enable AI agents and other clients to interact with Azure resources using natural language commands. It acts as a bridge, allowing users to access, manage, and automate Azure workflows without deep technical expertise in cloud operations. The MCP Server supports a variety of tasks such as file storage, database querying, log analysis, and executing CLI commands on Azure infrastructure. By leveraging Azure's security, scalability, and integration capabilities, MCP Server helps organizations streamline operations and empower AI systems or users to perform complex cloud actions in a simple and intuitive way.
Capabilities
What we can do with Azure MCP Server
With Azure MCP Server, users and AI agents can access a broad spectrum of Azure services and automate cloud workflows via natural language. The service unlocks capabilities for both technical and non-technical users to manage, analyze, and manipulate Azure-based resources efficiently.
- Natural Language Commands
- Interact with Azure resources using simple conversational language.
- File Storage Management
- Upload, download, and organize files in Azure Storage accounts.
- Database Querying
- Run queries on Azure databases, retrieve results, and analyze data.
- Log Analysis
- Query and analyze logs from various Azure resources for monitoring and troubleshooting.
- CLI Automation
- Execute Azure CLI commands remotely to manage infrastructure and services.
How AI Agents Benefit from Azure MCP Server
AI agents can leverage Azure MCP Server to perform complex cloud operations with ease, enabling automation of workflows such as resource provisioning, monitoring, troubleshooting, and data management. By translating high-level intents into actionable Azure operations, MCP Server reduces manual effort, increases productivity, and allows AI-driven systems to scale business processes securely and reliably.