Azure Model Context Protocol Hub
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Provides samples, tools, and resources for building and integrating Model Context Protocol servers on Azure across C#, Python, Java, and JavaScript.
Azure Model Context Protocol Hub Overview
What is Azure Model Context Protocol Hub about?
The hub aggregates official SDKs, language‑specific Azure Function templates, and plug‑and‑play MCP server implementations so developers can quickly create, deploy, and consume MCP services that expose real APIs to AI agents.
How to use Azure Model Context Protocol Hub?
- Run your own MCP server – clone one of the Azure Functions repositories (C#, Python, or TypeScript) and deploy to Azure.
- Build agents – use the official MCP SDKs (C#, Python, TypeScript, Java) or integrate with AI frameworks such as OpenAI Agents SDK, Semantic Kernel, LangChain.js, Spring AI, or Azure AI Agents.
- Leverage existing servers – consume community‑maintained MCP servers for data stores (Redis, PostgreSQL, MySQL, MongoDB, ADX) and dev/infra tools (Azure CLI, Kubernetes, GitHub, Azure DevOps).
Key features of Azure Model Context Protocol Hub
- Multi‑language Azure Function templates for hosting MCP servers.
- Official SDKs covering the four major programming languages.
- Ready‑made integrations with popular AI toolkits (OpenAI, Semantic Kernel, LangChain, Spring AI).
- A catalog of open‑source MCP servers that wrap common Azure services and tooling.
- Clear links to documentation, specs, and contribution guidelines.
Use cases of Azure Model Context Protocol Hub
- AI‑driven operations: agents invoke Azure CLI or Kubernetes via natural language.
- Data retrieval agents: query Redis, PostgreSQL, MySQL, MongoDB, or ADX through MCP.
- DevOps automation: manage GitHub and Azure DevOps resources from chat‑based agents.
- Enterprise AI assistants: combine Azure OpenAI with MCP‑exposed services for contextual, tool‑augmented assistance.
FAQ from the Azure Model Context Protocol Hub
- Do I need to host my own server? You can either deploy a server using the provided Azure Function templates or use any of the community‑maintained plug‑and‑play servers.
- Which languages are supported? C#, Python, TypeScript (JavaScript), and Java have both server templates and official SDKs.
- Is Microsoft responsible for the community servers? No. They are open‑source contributions; use them at your own discretion.
- How do I integrate MCP with my existing AI framework?
Import the appropriate SDK (e.g.,
@modelcontextprotocol/typescript-sdkfor TypeScript) and follow the integration guides linked for OpenAI, Semantic Kernel, LangChain, etc. - Where can I find the MCP specification? The spec is available at https://modelcontextprotocol.io.
Azure Model Context Protocol 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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