MCP SSE Server POC
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP SSE Server POCCreate a new MCP configuration for Playwright"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP SSE Server POC
A proof-of-concept server for STDIO transport of Model Context Protocol (MCP) into instant Server-Sent Events (SSE) streaming, deployable as a service. Instant remote hosted MCP servers with zero infrastructure work.
Features
Create and manage MCP server configurations via a simple UI
Generate stable SSE endpoints for each configuration
Stream real-time model responses via SSE
Built with Express, Drizzle ORM, and PostgreSQL
One-click deployment on Render
Local Development
Prerequisites
Node.js (v18 or later)
PostgreSQL database
Setup
Clone this repository:
git clone https://github.com/yourusername/mcp-sse-poc.git
cd mcp-sse-pocInstall dependencies:
npm installSet up your local PostgreSQL database and create a
.envfile with your database connection string:
DATABASE_URL=postgresql://username:password@localhost:5432/mcp_sse_dbGenerate and run migrations:
npm run generate
npm run migrateStart the development server:
npm run devOpen your browser and navigate to
http://localhost:3000
Deployment on Render
1. Push Your Code to GitHub/GitLab
Make sure your repository includes all the files in this project.
2. Create a Web Service on Render
Log in to your Render Dashboard
Click New → Web Service
Connect your GitHub/GitLab repository
Configure the service:
Name: Choose a name (e.g.,
mcp-sse-poc)Environment: Node
Build Command:
npm install(this will trigger the postinstall script that builds and migrates)Start Command:
npm start
Click Create Web Service
3. Add a PostgreSQL Database
In Render, click New → PostgreSQL Database
Name it (e.g.,
mcp-sse-db)Select the free plan
Click Create Database
Copy the provided
DATABASE_URLconnection string
4. Configure Environment Variables
Go back to your Web Service
Navigate to the Environment tab
Add the following environment variable:
Key:
DATABASE_URLValue: Paste the connection string you copied
5. Deploy
Render will automatically deploy your application. Once deployed, you can access it at the URL provided by Render.
Usage
Open your deployed application in a browser
Create a new MCP server configuration by entering a name and JSON configuration
Save the configuration to generate an SSE URL
Use the SSE URL in your client application to stream model responses
Example Configuration
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": ["@playwright/mcp@latest"]
}
}
}Model Context Protocol (MCP)
The Model Context Protocol is a lightweight, STDIO-based specification for interacting with language models over a standard input/output interface. It allows for real-time streaming of model responses and is designed to be simple and extensible.
Core Concepts
STDIO Transport
Input: JSON blob describing context messages
Output: Incremental response tokens streamed to stdout
Errors & Events: Non-blocking notifications on stderr
JSON Message Format
{ "context": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Translate to French: Hello, world!" } ], "stream": true }Server-Sent Events (SSE)
Each JSON chunk becomes an SSE event
Perfect mapping to MCP's unidirectional streaming model
License
MIT
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