# MCP Protocol

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

A simple MCP server implementation that provides user data management tools, supports TypeScript and ES modules, and includes built-in compilation and development tools.

A role-based Model Context Protocol (MCP) server that enables role-specific instruction, memory management, and style adaptation by defining context boundaries for different AI agent roles.

An MCP server that provides accurate numerical calculation services for LLMs

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 Teams Server is an implementation of the MCP protocol server for Microsoft Teams integration, supporting functions such as reading, creating, replying to messages, and mentioning members.

A weather information server based on the MCP protocol that retrieves real-time meteorological data through the QWeather API.

This project uses advanced AI prompting techniques to enable an AI agent (based on Google Gemini model) to interact with the legacy Windows application MSPaint through the Model Context Protocol (MCP) to solve complex math problems and draw solutions on the canvas.

Mail MCP is an email tool based on the MCP protocol that allows AI models to access email services through standardized interfaces, supporting functions such as sending, receiving, and managing emails and attachments.

The LottieFiles MCP server is a Model Context Protocol service for searching and retrieving Lottie animations.

Neo4j MCP server implementation that manages graph database operations through the Model Context Protocol, is compatible with Cursor and Claude Desktop, and supports Cypher query execution.

This is an MCP server for the Microsoft Clarity data export API, supporting querying of Clarity analytics data through MCP clients such as Claude, including multi-dimensional filtering and acquisition of multiple metrics.

Implementation of the Claude Text Editor MCP Server

A Lightning Network query service based on the MCP protocol, supporting natural language query of node data

A Model Context Protocol (MCP) server designed for Adobe After Effects, enabling applications such as AI assistants to control After Effects through standardized protocols.

A server project implementing the MCP protocol, providing note storage and summary generation functions

This project implements a server based on the MCP protocol for querying the French legal database via the Legifrance API, supporting integration with large language models such as Claude and providing search functions for legal provisions, codes, and precedents.

MCP Obsidian is a model context protocol server designed for the Obsidian note library, enabling integration with MCP clients such as Claude Desktop and supporting note search, reading, and writing functions.

An implementation of the MCP protocol server based on the Go language, integrating Grafana Loki log query functionality, supporting communication with clients via standard input and output, and providing a Docker deployment method.

The MSSQL MCP Server is an enhanced database management tool that provides comprehensive access to the Microsoft SQL Server database for language models through a standard interface. It supports 23 types of database operation tools, including advanced functions such as schema inspection, query execution, and stored procedure management.

A UUID generation server based on the MCP protocol, providing version 4 UUID generation services.

A service that allows AI assistants to control Apple Shortcuts through the MCP protocol

Agentify Components is a framework for adding semantic metadata to React components, enabling AI systems and automation tools to understand component functions. It adds standardized descriptions to components through decorators and generates MCP server configurations to enable interaction between components and AI models.

This project demonstrates how to use Google's Gemini 2.5 Pro model to interact with the flight search tool under the MCP protocol through the function call feature, enabling natural language queries for flight information and returning formatted results.

revit-mcp is a project that interacts with Revit via the MCP protocol. It provides server-side tools and needs to be used with the revit-mcp-plugin. It supports AI to retrieve Revit data, drive operations, and execute code.

This is an Unreal Engine plugin that implements the Model Context Protocol (MCP) server, allowing MCP clients (such as Claude) to access all functions of Unreal Engine through the Python API.

The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, can be connected via the MCP inspector or the Claude desktop application, and can ultimately be deployed to the Cloudflare cloud for remote client calls.

A Minecraft robot based on large language models and the Mineflayer API that enables models like Claude to control game characters through the MCP protocol.

A service that converts Bruno API collections into MCP tools, enabling seamless integration between APIs and AI agents