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mcp
2025-04-06
Links to samples, tools, and resources for building and integrating Model Context Protocol (MCP) servers on Azure using multiple languages
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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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Reviews
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user_gF7VRRQC
2025-04-17
As an avid user of the MCP application, I can confidently say it excels in both functionality and ease of use. The comprehensive features and seamless integration with various platforms have significantly streamlined my workflow. Kudos to Azure-Samples for developing such a robust tool! Highly recommend checking it out at https://github.com/Azure-Samples/mcp.