Azure Samples

The AI Travel Agents is a robust enterprise application (hosted on ACA) that leverages MCP and multiple LamaIndex AI agents to enhance travel agency operations.

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and `azd up` to have it in the cloud in a couple minutes. The MCP server is secured by design using

Azure API Management as AI Gateway to Remote MCP servers.

remote-mcp-functions-python is a Python library designed for managing remote functions using Bicep. It primarily aims to automate and streamline workflows in Azure environments, allowing developers to easily deploy and manage remote functions.

Landing page for Remote MCP Server efforts in Azure Functions with links to all language stack specific repos.

🧩 Demo: Build AI-powered MCP Tools for GitHub Copilot using Azure Functions, OpenAI, AI Agents & Cosmos DB. Manages code snippets w/ vector search.

This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on your local machine with debugging, and azd up to have it in the cloud in a couple minutes. The MCP server is secured by design.

This repository provides demos of authentication based on the Model Context Protocol (MCP). It supports various scenarios, including remote and local MCP servers, and accommodates specific identity providers. However, the code is for demo purposes only, and a security audit is necessary for actual operational environments.

Azure Database for PostgreSQL MCP Server

This project provides a .NET web application implementation of the Model Context Protocol (MCP). It offers an API that allows AI models to request additional context during inference and is deployable to Azure App Service. Fully implemented in C#, it also includes support for custom tools.

This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.

This is a quick start guide that provides the basic building blocks to set up a remote Model Context Protocol (MCP) server using Azure Container Apps. The MCP server is built using Node.js and TypeScript, and it can be used to run various tools and services in a serverless environment.

Azure AI Foundry - Agents related sample code

This is an MCP agent application built using .NET, leveraging Azure OpenAI and a remote MCP server written in TypeScript. The application runs on Azure Container Apps and includes built-in security features.

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This project is a template for easily building a remote MCP server using Azure Functions. Implemented in Python, it features debugging capabilities and can be quickly deployed to the cloud. Security is ensured through HTTPS and keys, with options for OAuth and network isolation.

The Azure AI Vision Face Detection and Recognition MCP Server, bringing the power of Face API to your agents.

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remote-mcp-functions-java is a Java library that provides automation features for remote environments. It is particularly useful for integrating functionalities and automating workflows in microservices architecture. Through an easy-to-use API, developers can quickly implement features and build efficient systems.