microsoft

Playwright MCP server

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, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

MCP Python Tutorial

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

Wassette: A security-oriented runtime that runs WebAssembly Components via MCP

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Lab for creating an MCP Server and using it in Microsoft Copilot Studio.

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 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 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)

Create an MCP Server for your API using the TypeSpec MCP Server

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.

A Model Context Protocol server for Microsoft Clarity data export API

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

This project is a comprehensive Java tutorial demonstrating the implementation of the Model Context Protocol (MCP) using a Quarkus server and LangChain4j client. It provides hands-on learning with a monkey species dataset and includes detailed guides for building MCP applications.