tigranbs

bun-mcp-sse-transport

Community tigranbs
Updated

Bun Server Transport implementation for MCP - MCP SSE

bun-mcp-sse-transport

A Server-Sent Events (SSE) transport implementation for the Model Context Protocol (MCP) using Bun.

Overview

This package provides a Bun-specific implementation of SSE transport for MCP servers. It enables real-time, one-way communication from server to client using the SSE protocol, with client-to-server communication handled via HTTP POST requests.

Key Features

  • Built specifically for Bun runtime
  • Implements the MCP transport interface
  • Manages SSE connections with proper headers
  • Handles incoming JSON-RPC messages
  • Simple integration with Bun.serve

Quick Usage

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { BunSSEServerTransport } from "bun-mcp-sse-transport";

// Create SSE transport
const transport = new BunSSEServerTransport("/messages");

// Connect to MCP server
const server = new McpServer({ name: "MyServer", version: "1.0.0" });
server.connect(transport);

// Set up Bun HTTP server
Bun.serve({
  port: 3000,
  routes: {
    "/sse": () => transport.createResponse(),
    "/messages": (req) => transport.handlePostMessage(req)
  }
});

How It Works

  1. When a client connects to /sse, the server creates an SSE connection
  2. The server sends the endpoint URL where the client should POST messages
  3. The client sends JSON-RPC messages to the endpoint URL
  4. The server receives these messages and passes them to the MCP server
  5. The MCP server processes the messages and sends responses via the SSE connection

This implementation follows the MCP standard while leveraging Bun's streaming capabilities for efficient real-time communication.

MCP Server · Populars

MCP Server · New

    archetyx

    Telegram MCP Server

    Remote control AI coding assistants (Claude Code/Codex) via Telegram

    Community archetyx
    dtkmn

    MCP ZAP Server

    Give AI agents a safe, self-hosted OWASP ZAP operator for guided web security scans, findings, reports, and production guardrails.

    Community dtkmn
    dlt-hub

    dltHub AI Workbench

    MCP Server

    Community dlt-hub
    rasinmuhammed

    Misata

    High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.

    Community rasinmuhammed
    Silung

    Scholar Search MCP

    An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.

    Community Silung