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Showing content from https://github.com/Azure-Samples/mcp below:

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

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:

C#
Python
TypeScript

🧠 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)

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.

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

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

📄 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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