The Azure MCP Server is a server that implements the MCP protocol, providing seamless connection between AI agents and Azure services (such as Storage and Cosmos DB), and supporting the conversion of natural language commands into Azure operations.

Lokka is a server based on the Model - Context - Protocol (MCP) for querying and managing Azure and Microsoft 365 tenants by operating Microsoft Graph and Azure RM APIs through natural language.

An implementation of the MCP Server for Azure DevOps, providing a standardized protocol for AI assistants to access the Azure DevOps API

An MCP server based on FastAPI that automatically fetches, summarizes, and pushes Reddit content to Slack. The system uses Azure OpenAI to generate summaries of posts from selected sub - reddits, organizes them into PDF reports, and shares them with the team.

The Azure Impact Reporting MCP Server is a tool that allows large language models to automatically parse user requests and submit reports on Azure resource issues. It supports multiple impact categories and automatically handles authentication and parameter extraction.

An Azure Data Explorer MCP Server based on the Go SDK, supporting database queries and table structure viewing.

The ADLS2 MCP Server is a Model Context Protocol (MCP) server implemented for Azure Data Lake Storage Gen2, providing a standardized interface for file operations through MCP tools.

A Marvel API MCP server project based on Azure Functions that provides interactive functions for Marvel character and comic data, supports multiple query tools, and integrates with MCP tools (such as VS Code, Claude, etc.).

This is an Azure Cosmos DB MCP server project that allows LLMs (such as Claude, VSCODE) to directly interact with the Azure Cosmos DB database and query data through natural language.

MCP Servers is a dotnet tool collection containing multiple MCP (Model Context Protocol) servers, providing two communication methods: standard input/output (Stdio) and server-sent events (SSE), supporting integration with services such as Azure DevOps, and including client tools and a general framework.

An MCP server for the Azure DevOps API, supporting functions such as project management and repository operations.

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

An MCP server for authenticating and executing Azure Data Explorer KQL queries through Azure CLI.

An MCP server for integrating Cursor IDE with Azure DevOps, providing interaction functions for projects, work items, code repositories, and pull requests, and supporting test plan management and intelligent response handling.

Azure OpenAI DALL-E 3 integration server that provides image generation and download functions through the MCP protocol

This project is a Python-based MCP server that provides the function of programmatically querying Azure resource pricing. It obtains real-time pricing information from the Azure retail price API through a structured workflow and supports calculating monthly costs.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

Azure MCP Server is a server that implements the Model Context Protocol for interacting with Azure services, supporting Blob Storage, Cosmos DB, and App Configuration operations.

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

This is a project demonstrating how to use MCP Servers in a Chainlit environment. It can be quickly deployed through Azure Open AI integration and Dev Containers, supporting examples such as file system operations.

An Untappd MCP server implementation based on Azure Functions and SSE technology

The ROADrecon MCP Server provides Azure AD data security analysis services for AI assistants

This project is an Azure troubleshooting server based on the Model Context Protocol (MCP), which allows AI assistants to interactively diagnose Azure resource problems through the Azure self-service API.

A minimal server/client application implementation based on the Model Context Protocol (MCP) and Azure OpenAI, including the FastMCP server, Playwright testing framework, and MCP-LLM Bridge conversion function.

This project is a quick - start template for a remote MCP server based on Azure Functions and Python. It supports communication via HTTPS and secure keys and integrates the Booking COM travel API to implement attraction query and review functions.

This project shows how to create an MCP server and client for Azure Cosmos DB, including a front - end application (product catalog and AI assistant) and an MCP server component that connects to the database.

The MCP server for Azure Data Explorer, providing a standardized interface to execute KQL queries and explore data

This project is a server based on the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services, enabling natural - language operations on work items, project management, and other functions.

A MCP server template written in TypeScript, deployed to Azure Container Apps via Azure Developer CLI, supporting the SSE transport protocol.

Azure MCP is a protocol implementation that allows Claude Desktop to manage Azure resources through natural language interaction.

An Azure code review server project based on TypeScript

Azure Resource Query MCP Server, providing cross - subscription Azure Resource Graph query capabilities

Snippy is an intelligent code snippet management service based on Azure Functions. It uses the MCP protocol to interact with tools like Copilot, supporting functions such as code snippet storage, search, and AI analysis.

Azure Database for PostgreSQL MCP Server is a server based on the Model Context Protocol (MCP) standard that allows AI models to interact with Azure PostgreSQL databases and provides standardized data access capabilities.

This project provides templates for quickly building and deploying custom remote MCP servers, supports multiple programming languages, uses Azure Functions for cloud deployment, and includes security authentication and network isolation features.

The Azure DevOps MCP is a dynamic server that can automatically switch authentication contexts based on the working directory, enabling seamless integration across multiple organizations and projects. It supports comprehensive functions such as work item management, code repositories, and build pipelines, and allows zero-configuration switching through local configuration files.

A TypeScript-based MCP server tool for testing Azure Function Apps interfaces

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

A TypeScript - based MCP server that supports direct interaction with Azure Table Storage through the Cline, providing functions for querying, managing, and analyzing data.

A template for quickly building and deploying a remote MCP server using Azure Functions, supporting local debugging and cloud deployment.