Math Operations MCP Server
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
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
- add - Add two numbers together
- subtract - Subtract the second number from the first
- multiply - Multiply two numbers together
- divide - Divide the first number by the second
- power - Raise the first number to the power of the second
- modulo - Calculate the remainder when dividing
Quick Start
Local Development
- Install dependencies:
pip install -r requirements.txt
- Run the server:
python server.py
The server will start on http://localhost:3000
- 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)
- Install Railway CLI:
npm i -g @railway/cli
- Login and deploy:
railway login
railway init
railway up
- Get your deployment URL from Railway dashboard
Option 2: Render
- Create account at render.com
- Click "New +" → "Web Service"
- Connect your GitHub repository
- Render will auto-detect the
render.yamlconfiguration - Click "Create Web Service"
- Copy your deployment URL (e.g.,
https://your-app.onrender.com)
Option 3: Heroku
- Install Heroku CLI and login:
heroku login
- Create and deploy:
heroku create your-app-name
git push heroku main
- Get your URL:
heroku open
Option 4: Docker
- Build the image:
docker build -t math-mcp-server .
- 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 infoGET /sse- SSE endpoint for MCP connectionsPOST /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
- Check server is running: Visit
https://your-url.com/to see the health check - Verify SSE endpoint: The SSE endpoint should be at
/sse - Check logs: View deployment logs in your platform dashboard
- CORS issues: The server accepts all origins for SSE connections
Claude Can't Connect
- Verify the URL in your config is correct
- Make sure it ends with
/sse - Restart Claude Desktop/Code after config changes
- Check that your deployment is publicly accessible
License
MIT
Contributing
Feel free to open issues or submit pull requests!
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。