GitHub - Azure-Samples/mcp: Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages (original) (raw)
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!