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Mcp Sse Example
What is Mcp Sse Example
mcp-sse-example is a reference implementation for integrating Model Context Protocol (MCP) capabilities into web applications using Server-Sent Events (SSE) as the transport layer, enabling real-time communication with AI models.
Use cases
Use cases for mcp-sse-example include developing interactive web applications that leverage AI capabilities, creating tools for real-time data analysis, and enhancing user experiences in applications that require live updates.
How to use
To use mcp-sse-example, clone the repository, install the backend dependencies, configure your API credentials in a .env file, and start the server using the provided npm commands. The server will be accessible at http://localhost:3001.
Key features
Key features include the ability to implement MCP servers using Server-Sent Events for web compatibility, create custom MCP tools accessible from web clients, connect any MCP-compatible client to the SSE-based server, and extend AI assistants with web-based capabilities through standardized protocols.
Where to use
mcp-sse-example can be used in web applications that require real-time interactions with AI models, such as chatbots, virtual assistants, and any application needing continuous data updates from a server.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Sse Example
mcp-sse-example is a reference implementation for integrating Model Context Protocol (MCP) capabilities into web applications using Server-Sent Events (SSE) as the transport layer, enabling real-time communication with AI models.
Use cases
Use cases for mcp-sse-example include developing interactive web applications that leverage AI capabilities, creating tools for real-time data analysis, and enhancing user experiences in applications that require live updates.
How to use
To use mcp-sse-example, clone the repository, install the backend dependencies, configure your API credentials in a .env file, and start the server using the provided npm commands. The server will be accessible at http://localhost:3001.
Key features
Key features include the ability to implement MCP servers using Server-Sent Events for web compatibility, create custom MCP tools accessible from web clients, connect any MCP-compatible client to the SSE-based server, and extend AI assistants with web-based capabilities through standardized protocols.
Where to use
mcp-sse-example can be used in web applications that require real-time interactions with AI models, such as chatbots, virtual assistants, and any application needing continuous data updates from a server.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Server-Sent Events (SSE) - Example
A reference implementation for integrating Model Context Protocol (MCP) capabilities into web applications using Server-Sent Events (SSE) as the transport layer.
Overview
This project demonstrates how to create an MCP server that communicates with clients using the SSE transport protocol. It enables web applications to access powerful MCP capabilities while maintaining a persistent connection for real-time communication with AI models.
Key features:
- Implement MCP servers using Server-Sent Events for web compatibility
- Create custom MCP tools that can be accessed from web clients
- Connect any MCP-compatible client to your SSE-based server
- Extend AI assistants with web-based capabilities through standardized protocols
What is MCP SSE?
The Model Context Protocol (MCP) supports multiple transport mechanisms, with SSE being ideal for web applications:
- Server-Sent Events (SSE): A web standard for establishing a unidirectional connection where servers can push updates to clients
- MCP over SSE: Implements the MCP protocol using SSE as the transport layer, enabling web clients to interact with MCP servers
- Real-time AI interactions: Allows continuous streaming of AI responses while maintaining tool execution capabilities
Getting Started
Prerequisites
- Node.js (v18 or higher)
- NPM or Yarn
- A Brave Search API key for the example search tool
Installation
# Clone the repository
git clone https://github.com/yourusername/mcp-sse-example.git
cd mcp-sse-example
# Install backend dependencies
cd backend
npm install
Configuration
Create a .env file in the backend directory with your API credentials:
BRAVE_API_KEY=your_api_key_here
Usage
Starting the Server
# Build and start the server
npm run build
npm run start
The MCP SSE server will be available at http://localhost:3001.
Docker Deployment
# From the project root
docker-compose up -d
How It Works
This implementation uses:
- Express.js as the web server
- SSEServerTransport from the MCP SDK to handle the SSE protocol
- McpServer to register and manage tools
The server exposes two main endpoints:
/sse- For establishing SSE connections/messages- For receiving messages from clients
Example Implementation
The core server implementation:
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import express from "express";
const server = new McpServer({
name: "Example SSE Server",
version: "1.0.0",
});
// Register tools
server.tool("example_tool", { param: z.string() }, async ({ param }) => ({
content: [{ type: "text", text: `Processed: ${param}` }],
}));
const app = express();
let transport: SSEServerTransport;
app.get("/sse", async (req, res) => {
transport = new SSEServerTransport("/messages", res);
await server.connect(transport);
});
app.post("/messages", async (req, res) => {
await transport.handlePostMessage(req, res);
});
app.listen(3001);
Compatible Clients
Many MCP clients support the SSE transport protocol, including:
- Claude Desktop App
- Continue
- Cursor
- LibreChat
- And many others listed at modelcontextprotocol.io/clients
Debugging
When debugging your MCP SSE implementation:
# Follow logs in real-time (for MacOS)
tail -n 20 -F ~/Library/Logs/Claude/mcp*.log
For more detailed debugging instructions, see the MCP debugging guide.
Contribution
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related Resources
- Model Context Protocol - Official MCP documentation
- MCP TypeScript SDK - Official TypeScript implementation
- MCP Inspector - Interactive tool for testing MCP servers
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










