Math Operations MCP Server

Abhinav140203/Remote-Math-MCP-server
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Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables performing arithmetic operations (add, subtract, multiply, divide, power, modulo) via natural language through HTTP SSE transport, allowing integration with Claude or other MCP clients for AI-powered calculations.

README.md

Math Operations MCP Server

A simple Model Context Protocol (MCP) server with HTTP SSE (Server-Sent Events) transport that performs basic math operations on two numbers.

Features

  • 6 Math Operations: add, subtract, multiply, divide, power, modulo
  • HTTP SSE Transport: Connect from anywhere via HTTP streaming
  • Easy Deployment: Deploy to Railway, Render, Heroku, or any platform
  • Claude Integration: Connect directly to Claude for AI-powered calculations

Available Operations

  1. add - Add two numbers together
  2. subtract - Subtract the second number from the first
  3. multiply - Multiply two numbers together
  4. divide - Divide the first number by the second
  5. power - Raise the first number to the power of the second
  6. modulo - Calculate the remainder when dividing

Quick Start

Local Development

  1. Install dependencies:
pip install -r requirements.txt
  1. Run the server:
python server.py

The server will start on http://localhost:3000

  1. Test the server:
# Health check
curl http://localhost:3000/

# SSE endpoint (for MCP connection)
curl http://localhost:3000/sse

Deployment Options

Option 1: Railway (Recommended)

  1. Install Railway CLI:
npm i -g @railway/cli
  1. Login and deploy:
railway login
railway init
railway up
  1. Get your deployment URL from Railway dashboard

Option 2: Render

  1. Create account at render.com
  2. Click "New +" → "Web Service"
  3. Connect your GitHub repository
  4. Render will auto-detect the render.yaml configuration
  5. Click "Create Web Service"
  6. Copy your deployment URL (e.g., https://your-app.onrender.com)

Option 3: Heroku

  1. Install Heroku CLI and login:
heroku login
  1. Create and deploy:
heroku create your-app-name
git push heroku main
  1. Get your URL:
heroku open

Option 4: Docker

  1. Build the image:
docker build -t math-mcp-server .
  1. Run the container:
docker run -p 3000:3000 math-mcp-server

Connecting to Claude

Once deployed, you can connect this MCP server to Claude Desktop or Claude Code.

Claude Desktop Configuration

Edit your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Add your server:

{
  "mcpServers": {
    "math-operations": {
      "url": "https://your-deployed-url.com/sse"
    }
  }
}

Replace https://your-deployed-url.com with your actual deployment URL.

Claude Code Configuration

Add to your mcp_config.json:

{
  "mcpServers": {
    "math-operations": {
      "url": "https://your-deployed-url.com/sse"
    }
  }
}

Testing the Connection

After connecting to Claude, try asking:

  • "What's 25 + 17?"
  • "Calculate 144 divided by 12"
  • "What's 2 to the power of 10?"
  • "What's 100 modulo 7?"

Claude will use your deployed MCP server to perform these calculations!

API Endpoints

  • GET / - Health check and server info
  • GET /sse - SSE endpoint for MCP connections
  • POST /messages - Message handling endpoint

Environment Variables

  • PORT - Server port (default: 3000)

Development

The server is built with:

  • mcp - Model Context Protocol SDK
  • starlette - Lightweight ASGI framework
  • uvicorn - ASGI server

Troubleshooting

Connection Issues

  1. Check server is running: Visit https://your-url.com/ to see the health check
  2. Verify SSE endpoint: The SSE endpoint should be at /sse
  3. Check logs: View deployment logs in your platform dashboard
  4. CORS issues: The server accepts all origins for SSE connections

Claude Can't Connect

  1. Verify the URL in your config is correct
  2. Make sure it ends with /sse
  3. Restart Claude Desktop/Code after config changes
  4. Check that your deployment is publicly accessible

License

MIT

Contributing

Feel free to open issues or submit pull requests!

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