Azure MCP Hub
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The Azure MCP Hub is a curated collection of samples, tools, and resources designed to assist developers in building and integrating Model Context Protocol (MCP) servers on Azure. It supports multiple programming languages, enabling developers to create AI agents that can interact with real-world APIs.
Azure MCP Hub Overview
What is Azure MCP Hub?
Azure MCP Hub is a curated collection of samples, tools, and resources designed to help developers build and integrate Model Context Protocol (MCP) servers on Azure. It supports multiple programming languages, including C#, Python, Java, and JavaScript, enabling developers to create AI agents that can interact with real-world APIs.
How to use Azure MCP Hub?
Azure MCP Hub provides three main ways to utilize its resources:
- Run Your Own MCP Server: Developers can host their own MCP servers using Azure Functions. The hub provides links to language-specific implementations for C#, Python, and TypeScript.
- Build Agents That Use MCP: Developers can use official MCP SDKs (available for C#, Python, TypeScript, and Java) or integrate with popular AI frameworks like OpenAI Agents SDK (Python), Semantic Kernel (C#), LangChain.js (JavaScript), and Spring AI (Java) to build agents that connect to any MCP server.
- Use Plug-and-Play MCP Servers: The hub lists community-maintained, open-source MCP servers that expose real APIs. These include servers for data APIs (Redis, PostgreSQL, MySQL, MongoDB, Azure Data Explorer) and dev & infra APIs (Azure CLI, Kubernetes, GitHub, Azure DevOps).
Key Features of Azure MCP Hub
- Multi-language Support: Provides resources for C#, Python, Java, and JavaScript developers.
- Comprehensive Resources: Offers samples, tools, and links for building, running, and reusing MCP servers.
- Integration with Azure: Specifically designed for deploying and integrating MCP servers on Azure.
- Official SDKs: Provides official SDKs for building MCP clients, servers, and tools.
- AI SDK Integrations: Facilitates integration with popular AI frameworks for agent development.
- Plug-and-Play Servers: Offers a collection of pre-built, community-maintained MCP servers for various data and development APIs.
- Community-Driven: Encourages contributions and provides access to open-source projects.
Use Cases of Azure MCP Hub
- Building AI Agents: Develop intelligent agents that can interact with external systems and APIs.
- Automating Tasks: Create agents that can automate tasks by calling real-world APIs (e.g., managing Azure resources via Azure CLI, interacting with GitHub).
- Data Access: Enable AI agents to query and manipulate data in various databases like Redis, PostgreSQL, MySQL, and MongoDB.
- DevOps Automation: Integrate AI agents into DevOps workflows for tasks like managing Kubernetes clusters or interacting with Azure DevOps.
- Extending AI Capabilities: Enhance the capabilities of AI models by allowing them to access and utilize external tools and services.
FAQ about Azure MCP Hub
- What is Model Context Protocol (MCP)? MCP is a protocol that allows AI agents to call real APIs. The hub provides a link to the official MCP specification.
- Are the plug-and-play servers officially supported by Microsoft? No, the plug-and-play servers are open-source and community-maintained. Microsoft does not review, support, or endorse them.
- What programming languages are supported for building MCP servers? You can build MCP servers using C#, Python, and TypeScript with Azure Functions.
- What programming languages are supported for MCP SDKs? Official MCP SDKs are available for C#, Python, TypeScript, and Java.
- How can I contribute to Azure MCP Hub? You can contribute by submitting pull requests for new servers or tools.
Azure MCP Hub's README
Azure Model Context Protocol (MCP) Hub
Build AI agents that call real APIs — fast. Whether you're a C#, Python, Java, or JavaScript developer, this hub helps you build, run, or reuse Model Context Protocol (MCP) servers on Azure to power your AI agents.
🚀 1. Run Your Own MCP Server
Host your own MCP server using Azure Functions — pick your language:
🧠 2. Build Agents That Use MCP
Use official SDKs or your favorite AI frameworks to write agents that connect to any MCP server.
✅ Official MCP SDKs (Build Clients, Servers, or Tools in Any Language)
🤖 AI SDK Integrations
- Python: OpenAI Agents SDK — Use MCPServerSse with Azure OpenAI
- C#: Semantic Kernel — Add MCP tools to your Kernel instance
- JavaScript: LangChain.js — Use MCP tools in LangChain or LangGraph agents
- Java: Spring AI — Plug into Spring Boot with auto-config
- Azure AI Agents — Add Bing + Azure AI Search to your agent
🧩 3. Use Plug-and-Play MCP Servers
Don't want to build your own tools? These servers expose real APIs via MCP so your agents can just call them.
⚠️ These servers are open source and maintained by the community. Microsoft does not review, support, or endorse them. Use at your own discretion.
🗃️ Data APIs
- Redis — Access Azure Redis
- PostgreSQL — Query Azure PostgreSQL
- MySQL — Use with Azure MySQL
- MongoDB — Talk to Cosmos DB with MongoDB
- Azure Data Explorer (ADX) — Run KQL queries via agent
🔧 Dev & Infra APIs
- Azure CLI — Run CLI commands with natural language
- Kubernetes — Control AKS clusters
- GitHub — Access GitHub APIs via chat or agent
- Azure DevOps (Python) — Work item support
- Azure DevOps (Node.js) — Repos, pipelines, and boards
📚 Learn More
- 📄 Model Context Protocol Spec
- 🧪 Explore sample agents, tools, and servers in the linked repos
- 🤝 Contribute a new server or tool via PR!
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