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Playwright MCP server

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

MCP Python Tutorial

The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

wassette is an automation tool developed in Rust that aims to streamline workflows. It features a user-friendly interface and powerful capabilities, helping developers and teams automate daily tasks. It excels particularly in data processing and integration with APIs.

The Microsoft Model Context Protocol (MCP) is an open standard that enables seamless integration between AI applications and external data sources. It allows AI models to access the necessary context to perform tasks effectively. Based on a client-server architecture, it standardizes connections between host applications and servers.

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Microsoft Copilot Studio is a platform for deploying MCP servers and connecting AI models to data sources in a standardized way. MCP standardizes how applications provide context to LLMs, enabling seamless integration of existing knowledge servers and APIs. Currently, Copilot Studio supports only tools.

A comprehensive set of samples of creating and using MCP servers and clients with .NET

A OneDrive MCP server implementation for local testing and community contribution

MCP Gateway is a reverse proxy and management layer for Model Context Protocol (MCP) servers, designed for Kubernetes environments. It facilitates session-aware traffic routing and lifecycle management of MCP servers. The project offers enterprise-ready features such as telemetry, access control, and observability, making it suitable for scalable AI development platforms.

A Model Context Protocol server for Microsoft Clarity data export API

typespec-mcp is a type-safe API design tool for TypeScript. It allows developers to clearly define API specifications using type definitions, reducing errors. The automatically generated documentation enhances team understanding and streamlines the development process.

MCP server for Fabric Real-Time Intelligence (https://aka.ms/fabricrti) supporting tools for Eventhouse (https://aka.ms/eventhouse), Azure Data Explorer (https://aka.ms/adx, and other RTI services (coming soon)

The Clarity MCP Server is a Model Context Protocol (MCP) server designed for the Microsoft Clarity data export API. This tool allows you to easily fetch analytics data from Clarity, particularly integrating seamlessly with Claude for Desktop and other MCP-compatible clients. It enables filtering by up to three dimensions such as browser, device, country/region, and OS. This allows you to retrieve various metrics like scroll depth, engagement time, and traffic, making it a powerful tool for data analysis.

Learn how to build Java-based MCP Servers and Clients with LangChain4J and Quarkus