SimpleCalculator MCP Server
Enables arithmetic operations (add, subtract, multiply, divide) through a custom Model Context Protocol implementation, containerized with Docker for easy deployment.
README
SimpleCalculator using Model Context Protocol (MCP) Server & Docker
A demonstration of custom Model Context Protocol (MCP) implementation for arithmetic operations, containerized with Docker for seamless deployment.
Features
- MCP Implementation: Custom protocol handling for mathematical operations
- Core Operations: Addition, Subtraction, Multiplication, Division
- Containerized Architecture: Docker-based deployment
- Dependency Management: Modern Python packaging with
pyproject.tomlanduv.lock - Protocol Security: Basic communication security through container isolation
Project Structure
.
├── src/ # MCP server implementation
├── Dockerfile # Container build instructions
├── compose.yaml # Orchestration configuration
├── requirements.txt # Python dependencies
├── pyproject.toml # Project metadata
├── uv.lock # Dependency lock file
├── .gitignore
├── LICENSE.md
└── README.md
Getting Started
Prerequisites
- Docker
Installation
git clone https://github.com/DionBenFernandes-Dev/SimpleCalculator-using-MCP-Server---Docker.git
cd SimpleCalculator-using-MCP-Server---Docker
Deployment
docker compose up --build
Protocol Implementation
The MCP server handles calculations through a custom protocol implementation. Operations are processed using the following pattern:
- Connection: Client establishes connection to MCP server
- Request Format:
Available tools:
- add: Add 2 numbers
- sub: Subtract 2 numbers
- mul: Multiply 2 numbers
- div: Divide 2 numbers
Enter the tool you want to use: add
Enter 1st Number: 3
Enter 2nd Number: 4
- Response Format:
Result:: 3 + 4 = 7
Configuration
Modify environment variables in compose.yaml to adjust:
- Server port binding
- Logging verbosity
- Protocol timeouts
Development
- Local Setup:
pip install uv # recommended
uv venv
uv add -r requirements.txt
uv run ./src/server.py
- Testing:
uv run .\src\client.py
- Output:
Available tools:
- add: Add 2 numbers
- sub: Subtract 2 numbers
- mul: Multiply 2 numbers
- div: Divide 2 numbers
Enter the tool you want to use: add
Enter 1st Number: 3
Enter 2nd Number: 4
Result:: 3 + 4 = 7
License
MIT License - See LICENSE.md
Contribution
- Fork the repository
- Create feature branch (
git checkout -b feature/NewOperation) - Commit changes (
git commit -m 'Add modulo operation') - Push to branch (
git push origin feature/NewOperation) - Open Pull Request
Maintainer
Dion Ben Fernandes - GitHub Profile
Note: This implementation demonstrates a custom MCP architecture pattern. For production use, consider implementing proper protocol security measures and validation layers.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.