Lazy Calculator
FreeNot checkedA deliberately broken calculator MCP server that always returns double the correct answer, designed as a learning exercise for MCP server implementation.
About
A deliberately broken calculator MCP server that always returns double the correct answer, designed as a learning exercise for MCP server implementation.
README
A Model Context Protocol (MCP) server that creates a hilariously wrong calculator - it always doubles the actual answer! Built as a learning exercise for understanding MCP server implementation with Claude Desktop.
📋 Table of Contents
- Overview
- What You'll Learn
- Prerequisites
- Installation
- Claude Desktop Configuration
- Troubleshooting Guide
- Developer Cheat Sheet
- Architecture Deep Dive
- Common Issues & Solutions
🎯 Overview
The Lazy Calculator is an MCP server that:
- Parses natural language math questions
- Calculates the correct answer
- Returns double the actual result (because it's "lazy")
- Demonstrates proper MCP server implementation patterns
Example Usage
- Input: "What is 5 + 5?"
- Output: "The answer is 20 (definitely not 10... wink)"
🎓 What You'll Learn
This repository demonstrates:
- MCP Server Implementation - Using the standard MCP SDK (not FastMCP)
- Python Virtual Environments - Required for macOS due to system Python restrictions
- Safe Math Expression Evaluation - Using Python's AST module
- Natural Language Processing - Basic pattern matching for math questions
- Claude Desktop Integration - Proper configuration and debugging
📦 Prerequisites
System Requirements
- macOS (tested) or Linux/Windows (may need path adjustments)
- Python 3.8+ (Python 3.13 tested)
- Claude Desktop app installed
- Homebrew (for macOS users)
Required Software
# Check Python version
python3 --version
# Install Python via Homebrew if needed (macOS)
brew install [email protected]
🚀 Installation
Step 1: Clone the Repository
git clone https://github.com/YOUR_USERNAME/lazy-calculator-mcp.git
cd lazy-calculator-mcp
Step 2: Create Virtual Environment
# Create virtual environment (REQUIRED on macOS)
python3 -m venv mcp_venv
# Activate the virtual environment
source mcp_venv/bin/activate
# Install dependencies
pip install mcp
Step 3: Make Scripts Executable
chmod +x lazy_calculator_server.py
chmod +x run_lazy_calculator.sh
Step 4: Update the Wrapper Script
Edit run_lazy_calculator.sh and update the path to match your installation:
#!/bin/bash
cd "/path/to/your/lazy-calculator-mcp" # UPDATE THIS PATH
source mcp_venv/bin/activate
exec python lazy_calculator_server.py
⚙️ Claude Desktop Configuration
Configuration File Location
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
Add to Configuration
{
"mcpServers": {
"lazy-calculator": {
"command": "/path/to/your/lazy-calculator-mcp/run_lazy_calculator.sh",
"args": [],
"env": {}
}
}
}
⚠️ IMPORTANT: Update the path to match where you cloned this repository!
Restart Claude Desktop
After updating the configuration, completely quit and restart Claude Desktop.
🔍 Troubleshooting Guide
Critical Log File Locations
When debugging MCP servers with Claude Desktop, these are the essential files:
1. Main Application Log
# macOS
~/Library/Logs/Claude/main.log
# View recent entries
tail -f ~/Library/Logs/Claude/main.log
2. MCP Server Specific Log
# macOS - Each MCP server gets its own log
~/Library/Logs/Claude/mcp-server-lazy-calculator.log
# Monitor in real-time
tail -f ~/Library/Logs/Claude/mcp-server-lazy-calculator.log
3. Configuration File
# View current configuration
cat ~/Library/Application\ Support/Claude/claude_desktop_config.json
# Edit configuration
nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
Common Error Messages & Solutions
Error: "spawn python ENOENT"
Problem: System can't find python command
Solution: Use python3 or full path /opt/homebrew/bin/python3
Error: "ModuleNotFoundError: No module named 'mcp'"
Problem: MCP not installed or wrong Python environment Solution: Ensure virtual environment is activated and mcp is installed
Error: "unhandled errors in a TaskGroup"
Problem: FastMCP compatibility issue or missing initialization parameters
Solution: Use standard MCP SDK with proper capabilities field
Error: "Extension lazy-calculator not found in installed extensions"
Problem: Normal warning - custom servers aren't "extensions" Solution: This can be safely ignored
Testing Your Server Manually
# Test the server directly
cd /path/to/lazy-calculator-mcp
source mcp_venv/bin/activate
echo '{"jsonrpc": "2.0", "method": "initialize", "params": {"protocolVersion": "2025-06-18", "capabilities": {}, "clientInfo": {"name": "test", "version": "1.0"}}, "id": 1}' | python lazy_calculator_server.py
Expected response:
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-06-18","capabilities":{"tools":{}},"serverInfo":{"name":"lazy-calculator","version":"1.0.0"}}}
🛠️ Developer Cheat Sheet
Quick Commands for Claude Code Assistance
When working with Claude Code to debug MCP servers, provide these paths:
## Paths for Claude Code Debugging
### View MCP Server Log
/Users/YOUR_USERNAME/Library/Logs/Claude/mcp-server-lazy-calculator.log
### View Main Application Log
/Users/YOUR_USERNAME/Library/Logs/Claude/main.log
### Edit Configuration
/Users/YOUR_USERNAME/Library/Application Support/Claude/claude_desktop_config.json
### Server Location
/path/to/your/lazy-calculator-mcp/lazy_calculator_server.py
Debugging Workflow
Check if server is listed in Claude Desktop
- Look for "lazy-calculator" in the MCP servers section
Monitor logs during connection
# Terminal 1: Watch main log tail -f ~/Library/Logs/Claude/main.log | grep lazy-calculator # Terminal 2: Watch server log tail -f ~/Library/Logs/Claude/mcp-server-lazy-calculator.logTest server independently
cd /path/to/lazy-calculator-mcp ./run_lazy_calculator.sh # Should run without errors
🏗️ Architecture Deep Dive
File Structure
lazy-calculator-mcp/
├── lazy_calculator_server.py # Main MCP server implementation
├── run_lazy_calculator.sh # Wrapper script for virtual environment
├── requirements.txt # Python dependencies (just 'mcp')
├── mcp_venv/ # Virtual environment (created during setup)
└── README.md # This file
Key Components
1. Server Initialization
from mcp.server import Server
from mcp.server.models import InitializationOptions
from mcp.types import ServerCapabilities
server = Server("lazy-calculator")
# Critical: Must include capabilities field
InitializationOptions(
server_name="lazy-calculator",
server_version="1.0.0",
capabilities=ServerCapabilities(tools={})
)
2. Tool Registration
@server.list_tools()
async def handle_list_tools() -> list[Tool]:
return [Tool(...)]
@server.call_tool()
async def handle_call_tool(name: str, arguments: dict) -> list[TextContent]:
# Handle tool execution
3. Safe Math Evaluation
- Uses Python's
astmodule for safe expression parsing - No
eval()orexec()- prevents code injection - Whitelist of allowed operations and functions
4. Natural Language Processing
- Regex-based pattern matching
- Word-to-number conversion
- Operation keyword detection
MCP Protocol Flow
- Initialize → Server receives protocol version and capabilities
- List Tools → Server returns available tools
- Call Tool → Server executes requested tool with arguments
- Return Result → Server sends formatted response
🐛 Common Issues & Solutions
Issue 1: Python Path Problems on macOS
The Journey:
- macOS uses system Python which is protected
pip installfails with "externally-managed-environment"- Must use virtual environments
Solution: Always use virtual environment with full path in wrapper script
Issue 2: FastMCP vs Standard MCP
The Journey:
- FastMCP has simpler syntax but caused "TaskGroup" errors
- Standard MCP requires more boilerplate but is more stable
Solution: Use standard MCP SDK with proper initialization
Issue 3: Configuration Not Taking Effect
The Journey:
- Claude Desktop caches configurations
- Hot-reload doesn't always work
Solution: Completely quit Claude Desktop (Cmd+Q) and restart
Issue 4: Server Connects but Immediately Disconnects
The Journey:
- Missing required fields in initialization
- Incorrect protocol version
Solution:
Ensure capabilities field is included in InitializationOptions
📝 Lessons Learned
- Always use virtual environments on macOS - System Python is protected
- Log files are your best friend - Check both main.log and server-specific logs
- Test servers independently first - Use echo/pipe to test before Claude Desktop
- FastMCP isn't always faster to implement - Standard SDK is more reliable
- Wrapper scripts solve environment issues - Activate venv before running Python
- Configuration requires full restart - Claude Desktop doesn't hot-reload MCP servers
🤝 Contributing
Feel free to submit issues and enhancement requests!
📄 License
MIT License - See LICENSE file for details
🙏 Acknowledgments
- Built while learning MCP with Claude Code
- Thanks to Anthropic for the MCP protocol
- Inspired by the need to understand MCP server implementation
Remember: This calculator is intentionally wrong! It's a learning tool, not for actual calculations. 🦥
Quick Start for Claude Code Users
If you're using Claude Code to work with this repository:
- Clone the repo
- Tell Claude Code these paths:
Config: ~/Library/Application Support/Claude/claude_desktop_config.json Logs: ~/Library/Logs/Claude/mcp-server-lazy-calculator.log - Let Claude Code handle the debugging!
Installing Lazy Calculator
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/michellelandon/lazy-calculator-mcpFAQ
Is Lazy Calculator MCP free?
Yes, Lazy Calculator MCP is free — one-click install via Unyly at no cost.
Does Lazy Calculator need an API key?
No, Lazy Calculator runs without API keys or environment variables.
Is Lazy Calculator hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Lazy Calculator in Claude Desktop, Claude Code or Cursor?
Open Lazy Calculator on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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