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.

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🚀 1. Run Your Own MCP Server

Host your own MCP server using Azure Functions — pick your language:

• C#
• Python
• TypeScript

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🧠 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)

• C# SDK
• Python SDK
• TypeScript SDK
• Java SDK

🤖 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

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🧩 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

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📚 Learn More

• 📄 Model Context Protocol Spec
• 🧪 Explore sample agents, tools, and servers in the linked repos
• 🤝 Contribute a new server or tool via PR!