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by d-gangz • APIs & Integration
An open-source MCP server that uses Server-Sent Events for real-time, event-driven communication between AI assistants and clients.
Real-time server-to-client updates and event streaming using Server-Sent Events for low-latency notifications.
Manage multiple concurrent sessions with unique session IDs and handle client-originated messages via HTTP POST.
Example tool and resource integrations (e.g., dynamic prompt generation and static content exposure) to bootstrap MCP capabilities.
This project implements a Model Context Protocol (MCP) server using Server-Sent Events (SSE) for one-way server-to-client streaming and HTTP POST for client-to-server messages. It includes session management for concurrent clients, a sample tool (story-outline-generator), and a sample resource (sample-text). Built in TypeScript with easy deployment to Vercel, it is intended as a reference or starting point for integrating MCP with assistants and tools.
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