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by kashifmohd • Uncategorized
An MCP server implementation using Server-Sent Events for real-time AI communication in web applications.
Maintain persistent, real-time connections with AI models via web-compatible SSE transport.
Integrate custom MCP tools accessible through web clients.
Connect MCP-compatible clients to an SSE-based server for streaming AI responses.
This project provides a reference implementation of a Model Context Protocol (MCP) server that uses Server-Sent Events (SSE) as the transport layer to enable persistent, real-time communication between AI models and web clients. It supports creating custom MCP tools accessible from web clients and allows integration with any MCP-compatible client. The server is built with Express.js and the MCP TypeScript SDK, facilitating easy extension of AI assistants with web-based capabilities.