Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

The Copilot Studio Agent Direct Line MCP Server is a local MCP server that allows developers to directly interact with Microsoft Copilot Studio Agents in their code editors through the Direct Line 3.0 API, providing functions such as conversation management, message sending, and history retrieval.

This project enables querying Dataverse environments using SQL via the MCP protocol, supports AI tools such as GitHub Copilot and Claude Desktop, and provides two installation methods: the dotnet tool and Docker container.

This is an example project of building an MCP server with Go language, showing how to create an MCP service and call it through GitHub Copilot.

The Luno MCP Server is a server based on the Model Context Protocol that provides integration with the Luno cryptocurrency exchange API, supporting MCP - compatible clients such as VS Code Copilot to access account information, trading functions, and market data.

This experiment guides users on how to deploy an MCP server and integrate it into Microsoft Copilot Studio. Through a standardized protocol, it connects AI models with data sources to achieve real - time data access and joke generation functions.

The VibeCheck Web testing tool is an AI-driven web testing agent integrated into AI programming assistants (such as GitHub Copilot, Cursor, etc.) through the MCP protocol to achieve automated test recording, execution, and discovery. It uses Playwright to control the browser, supports generating test scripts through natural language description, executes regression tests, and automatically discovers potential test steps, improving development efficiency and test accuracy.

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.

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

GitHub Copilot Memory Tool, designed for the new features of VS Code 2025. It allows Copilot to remember user preferences and work context through persistent memory, enhancing the personalized experience of the AI programming assistant.

A Python - based MCP server project that integrates Microsoft Security Copilot and Sentinel, supporting KQL queries, skill management, and authentication.

This project is an MCP server designed for the Google Programmable Search Engine (PSE) API, providing a web search tool to compatible clients (such as VSCode, Copilot, etc.) through the MCP protocol.

A Four in a Row game implemented based on Spring Boot and the MCP protocol, supporting battles between players and GitHub Copilot, including complete game logic and state management.

A Python-based MCP server project that integrates Microsoft Security Copilot and Microsoft Sentinel, supports KQL query execution, skill set management, and security prompt running, and uses Azure authentication.

An MCP server for agent development tools, providing secure operations under the root project directory, including executing Makefile commands, file operations, and Git operations. Suitable for integration with AI-assisted development tools such as VS-Code copilot.

This project demonstrates how to create an MCP server using Azure Functions and interact through the proxy mode of GitHub Copilot Chat. It includes configuration methods for local and remote MCP servers, as well as a guide for deploying Azure Functions via Terraform.

An MCP server project based on the D programming language for generating UUIDs, supporting batch generation of up to 100 UUIDs and can be integrated into development tools such as Claude Desktop and Github Copilot.

This project provides a Docker-based MCP Atlassian integration service, which allows users to access Confluence and Jira resources through the VS Code Copilot extension.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio. Connect AI models with data sources through a standardized protocol to achieve real - time data access and tool integration.

A GitHub repository creation tool based on the Model Context Protocol (MCP) that provides the functions of automatically analyzing local code repositories, generating metadata, and creating well-configured GitHub repositories, and supports integration with AI tools such as Copilot.

The distributed MCP server provides an API toolset for legal information query, weather data, Azure pricing, and utility functions, supporting AI assistants such as Microsoft Copilot to call through the MCP protocol.

This project is a GitHub tool MCP server built on TypeScript and the MCP SDK, providing functions such as user information query, security vulnerability management, branch and pull request operations, and supporting integration with MCP clients such as GitHub Copilot.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio, connecting AI models with data sources through a standardized protocol to achieve real-time data access and joke generation functions.

An MCP SDK demonstration project based on Node.js and TypeScript, providing BMI calculation and addition tools, supporting SSE real-time response, and integrating GitHub Copilot and Microsoft Copilot Studio.

The MCP Oracle Database Context Server is a tool that provides intelligent schema caching for large Oracle databases, enabling AI assistants to efficiently access the database structure containing thousands of tables. It supports functions such as table schema query and relationship mapping and seamlessly integrates with AI tools such as GitHub Copilot.

An MCP server that provides MD5 and SHA - 256 hash calculations, supports running through Docker or Python environment, and is suitable for clients that support the MCP protocol, such as VS Code Copilot Chat and Claude.

This project demonstrates how to expose ArcGIS Pro functions to clients such as GitHub Copilot through the MCP protocol. It includes an ArcGIS Pro plugin and a.NET 8 MCP server, and realizes inter - process communication through named pipes.

This project implements the calendar content search function through the Google Calendar API and integrates it into Copilot Chat in VSCode as an MCP server, making it convenient for users to query and manage schedule events.

A simple MCP server project for testing Copilot Studio integration

This project provides a single-player Jeopardy! game experience based on J-Archive for VSCode users, enabling Q&A interaction through GitHub Copilot.

The GitHub Copilot Taskmaster Extension provides real-time chat and task management functions by integrating with the Taskmaster-AI MCP server.

A universal MCP server project for invoking APIs and providing a simple echo tool, supporting operations via VS Code and GitHub Copilot.

MCP Remote Context Server for Copilot Integration

The Buildkite-MCP-Server is a server based on the Model Context Protocol (MCP) that provides pipeline, build, and job information from Buildkite for use by tools such as Claude Desktop and GitHub Copilot.

Contrast MCP Server is a bridge that connects Contrast security data with AI agents/LLMs, helping developers and security professionals quickly fix vulnerabilities. It supports multiple deployment methods, including local running and Docker containers, and can be integrated with tools such as VS Code and Copilot.

This project is an MCP server for running Microsoft 365 CLI commands, designed to support the use of VS Code and GitHub Copilot Agent. In the future, it may be extended to support the development of Microsoft 365 applications.

The ReportPortal MCP Server is a middleware service that allows users to directly query and analyze ReportPortal's test execution results through chat tools such as GitHub Copilot.

ExcelReadMCP is an MCP protocol server specifically designed for reading Excel files, providing functions such as reading, searching, and obtaining workbook information, and supporting use in clients such as Cursor and GitHub Copilot

This is a demonstration project of an MCP server, built based on Python, used to test the interaction function with Copilot in VSCode.

This project creates or utilizes multiple MCP servers to integrate with the intelligent agent framework and Microsoft Copilot Studio.