SSE Calculator MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
SSE Calculator MCP Server
A stateful calculator server that uses Server-Sent Events (SSE) for real-time communication. This server implements the Model Context Protocol (MCP) for integration with AI assistants.
Features
Real-time calculator operations using SSE
Stateful sessions for ongoing calculations
History tracking for all calculations
Web-based calculator interface
MCP integration for AI assistants
Related MCP server: MCP Tools
Architecture
The server is built using NestJS and implements the following components:
Session Service: Manages calculator sessions and state
Calculator Service: Performs calculation operations
SSE Controller: Handles client connections and event streaming
Getting Started
Prerequisites
Node.js (v14 or higher)
npm (v6 or higher)
Installation
Clone the repository
Install dependencies:
npm installStart the server:
npm run start:devOpen the calculator interface in your browser:
http://localhost:3000API Endpoints
SSE Stream
GET /calculator/streamEstablishes an SSE connection and creates a new calculator session.
Calculate
POST /calculator/calculate/:sessionIdPerforms a calculation operation on the specified session.
Request body:
{
"operation": "add", // add, subtract, multiply, divide, clear
"a": 5,
"b": 3
}History
GET /calculator/history/:sessionIdRetrieves the calculation history for the specified session.
Sessions
GET /calculator/sessionsRetrieves all active calculator sessions.
MCP Integration
To use this server as an MCP server, add the following configuration to your MCP settings file:
{
"mcpServers": {
"remote-calculator": {
"url": "http://localhost:3000/calculator/stream",
"disabled": false,
"alwaysAllow": [],
"timeout": 60
}
}
}Deployment Options
For production deployment, you can use the following options:
Docker: A Dockerfile is provided for containerized deployment
See
Dockerfileanddocker-compose.ymlfor configuration
Smithery.ai: Deploy directly from GitHub
See
SMITHERY_DEPLOYMENT.mdfor detailed instructionsConfiguration provided in
smithery.json
Heroku/DigitalOcean: Cloud platform deployment
See
DEPLOYMENT.mdfor step-by-step instructions
Self-hosted: Use NGINX or similar for SSL termination and load balancing
Hosting Your Own MCP Server
After deploying your server, update your MCP client configuration to point to your hosted URL:
{
"mcpServers": {
"remote-calculator": {
"url": "https://your-deployed-url.com/calculator/stream",
"disabled": false,
"alwaysAllow": [],
"timeout": 60
}
}
}License
MIT
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Maintenance
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