# Real-time communication

OpsNow MCP Cost Server is an MCP protocol server that provides OpsNow cost data for desktop applications such as Claude

A simple MCP server based on SSE, providing sample tools, resources, and tips, supporting multiple transport methods, and containing practical application cases of PostgreSQL and NATS.

An MCP server implemented in Go, providing the function of accessing databases through JSON-RPC interfaces, supporting real-time communication and a tool extension architecture.

This is an example implementation of a Model Context Protocol (MCP) server based on Server-Sent Events (SSE), designed for deployment on Netlify Edge Functions and providing real-time communication capabilities.

mcp-gateway-go is a lightweight gateway based on Go that can convert MCP servers with standard input/output to SSE endpoints for real-time HTTP communication with clients (such as browsers or AI agents).

A server implementation based on the Model Context Protocol (MCP), supporting real-time communication through Server-Sent Events (SSE).

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

SignalR combines with MCP service to achieve real-time communication

An ntfy notification service based on the Model Context Protocol, supporting the sending of real-time notifications to devices via the ntfy service

Integrate LiveKit intelligent agents with Home Assistant MCP services to achieve smart home control through voice

An Oracle database MCP service based on Spring Boot, providing database operation functions such as table structure query and SQL execution, and supporting SSE real-time communication.

An implementation of the MQTTX service based on SSE transmission, providing MQTT proxy connection capabilities through the MCP protocol and supporting operations such as subscription and publishing.

MUXI.ai is an open-source framework for multi-AI-agent systems, offering persistent memory, standardized communication protocols, and thought chain tracking. It supports multiple interface integrations and aims to provide a modular and scalable platform for developers to build advanced AI applications.

This project is an implementation of the MCP server based on TypeScript. It uses Server-Sent Events (SSE) for real-time message transmission and conducts secure authentication through Bearer Token. It supports real-time communication with clients such as LLM hosts and provides four basic math tools as examples.

A reference implementation of the MCP protocol based on WebSocket, demonstrating a mathematical calculation demo using Cloudflare Workers and Durable Objects for real-time two-way communication.

An MCP server implementation based on TypeScript and Express, used to connect AI agents with external APIs, providing movie database interaction functions, supporting real-time communication and modular expansion.

This is a Docker-based Python server template that implements the Model Context Protocol (MCP), built with the FastMCP library, and supports real-time interaction with large language models (LLMs) through Server-Sent Events (SSE).

A modern browser application based on React that provides a user-friendly interface to interact with the Model Context Protocol (MCP) server in real-time through Server-Sent Events (SSE). It supports features such as theme switching, screenshot preview, and message history.

A model context protocol server based on FastAPI, providing model context management, session handling, and real-time communication functions.

Fetch MCP Server is an implementation based on the Model Context Protocol (MCP), providing real-time communication and web content scraping functions, supporting Server-Sent Events (SSE) and AI application integration.

This project implements an MCP server for Mattermost, which integrates the Mattermost API and supports multiple transmission modes, including SSE and standard I/O, providing real-time message processing and team channel monitoring functions.