MCP Math Server
A Mathematical Computation Protocol server providing 286 mathematical functions across multiple domains with flexible transport options (STDIO/HTTP) and streaming capabilities.
README Documentation
š§® Chuk MCP Math Server
A highly configurable Mathematical Computation Protocol (MCP) server that provides comprehensive mathematical functions with flexible transport options. Built on the high-performance chuk-mcp-server framework.
ā” Performance
- 36,000+ RPS peak throughput (inherited from chuk-mcp-server)
- Sub-3ms latency per tool call
- 393 Mathematical Functions available
- Zero-config startup - works out of the box
⨠Features
š¢ Mathematical Capabilities
- 393 Mathematical Functions across multiple domains
- Number Theory: Prime testing, factorization, GCD, LCM, sequences (71 functions)
- Arithmetic: Basic operations, advanced calculations, statistics (322 functions)
- Trigonometry: Comprehensive trigonometric operations (71 functions)
- Real-time Computation: Async processing with proper error handling
- Function Filtering: Configurable allowlists and denylists by domain, category, or function
š Transport & Architecture
- Dual Transport: STDIO (Claude Desktop) and HTTP support
- High Performance: Built on chuk-mcp-server framework
- Auto-detection: Automatically selects optimal transport mode
- Production Ready: 36,000+ RPS, <3ms latency
- Type Safe: Automatic schema generation from Python type hints
āļø Configuration
- CLI Configuration: Comprehensive command-line options
- File Configuration: YAML and JSON config file support
- Environment Variables: Container-friendly configuration
- Dynamic Filtering: Runtime function filtering with allowlists and denylists
- Granular Control: Filter by function, domain, or category
š”ļø Production Features
- Zero Configuration: Works out of the box with sensible defaults
- High Test Coverage: 97% code coverage with 114 comprehensive tests
- Type Safe: 100% type-checked with mypy, fully Pydantic-native
- Error Handling: Graceful failure management
- Logging: Configurable log levels and output
- MCP Resources: Built-in resources for function discovery and stats
- Timeout Management: Configurable computation timeouts
š Quick Start
Installation
# Clone the repository
git clone https://github.com/chuk-mcp/chuk-mcp-math-server.git
cd chuk-mcp-math-server
# Install dependencies
uv sync
# or
pip install -e .
Basic Usage
STDIO Transport (Claude Desktop)
# Start server with STDIO transport (default)
uv run chuk-mcp-math-server
# Starts immediately with all 393 functions available
HTTP Transport (Web APIs)
# Start HTTP server
uv run chuk-mcp-math-server --transport http --port 8000
# Server will be available at http://localhost:8000
Claude Desktop Integration
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"math": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/chuk-mcp-math-server",
"run",
"chuk-mcp-math-server"
]
}
}
}
Important: Use absolute paths, not relative or ~ paths.
Restart Claude Desktop and ask: "Can you check if 97 is prime?" - Claude will use the math server!
Example HTTP API Usage
# Test the server
curl http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}'
# Call a mathematical function
curl http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "is_prime",
"arguments": {"n": 97}
}
}'
š Documentation
Available Functions
The server provides 393 mathematical functions across these domains:
| Domain | Functions | Examples |
|---|---|---|
| Arithmetic (322) | Basic operations, comparisons, rounding, modular arithmetic | add, multiply, modulo, gcd, lcm |
| Trigonometry (71) | Trig functions, conversions, identities | sin, cos, tan, radians, degrees |
| Number Theory | Primes, sequences, special numbers | is_prime, fibonacci, factorial, divisors |
Function Filtering
Control which functions are exposed:
# Only expose specific functions
chuk-mcp-math-server --functions add subtract multiply divide
# Expose only arithmetic domain
chuk-mcp-math-server --domains arithmetic
# Exclude specific functions
chuk-mcp-math-server --exclude-functions slow_function
# Combine filters
chuk-mcp-math-server --domains arithmetic number_theory --categories core primes
Configuration Options
Command Line
# Basic configuration
chuk-mcp-math-server --transport http --port 8080 --host 0.0.0.0
# Function filtering
chuk-mcp-math-server --domains arithmetic --functions is_prime add
# Performance tuning
chuk-mcp-math-server --cache-strategy smart --timeout 60
# Logging
chuk-mcp-math-server --verbose # Debug logging
chuk-mcp-math-server --quiet # Minimal logging
Configuration File
# config.yaml
transport: "http"
port: 8000
host: "0.0.0.0"
log_level: "INFO"
# Function filtering (allowlist: only these are enabled, denylist: these are excluded)
domain_allowlist: ["arithmetic", "number_theory"]
function_allowlist: ["is_prime", "fibonacci", "add", "multiply"]
function_denylist: ["deprecated_function"] # Exclude specific functions
# Performance
cache_strategy: "smart"
cache_size: 1000
computation_timeout: 30.0
max_concurrent_calls: 10
# Use configuration file
chuk-mcp-math-server --config config.yaml
# Save current config
chuk-mcp-math-server --domains arithmetic --save-config my-config.yaml
# Show current config
chuk-mcp-math-server --show-config
MCP Resources
The server provides built-in resources for introspection:
# List available functions (via MCP resource)
{
"jsonrpc": "2.0",
"id": 1,
"method": "resources/read",
"params": {
"uri": "math://available-functions"
}
}
# Get function statistics
{
"jsonrpc": "2.0",
"id": 2,
"method": "resources/read",
"params": {
"uri": "math://function-stats"
}
}
# Get server configuration
{
"jsonrpc": "2.0",
"id": 3,
"method": "resources/read",
"params": {
"uri": "math://server-config"
}
}
š ļø Development
Project Structure
chuk-mcp-math-server/
āāā src/chuk_mcp_math_server/
ā āāā __init__.py # Package initialization
ā āāā cli.py # CLI implementation
ā āāā config.py # Base configuration (Pydantic)
ā āāā math_config.py # Math-specific configuration
ā āāā function_filter.py # Function filtering logic
ā āāā math_server.py # Main server (uses chuk-mcp-server)
āāā tests/ # Test suite (97% coverage, 114 tests)
āāā pyproject.toml # Project configuration
āāā README.md # This file
Development Setup
# Install development dependencies
uv sync --group dev
# Run all checks (format, lint, typecheck, tests)
make check
# Run tests with coverage
make test-cov
# Run type checking
make typecheck
# Format code
make format
# Run with verbose logging
uv run chuk-mcp-math-server --verbose
Custom Server
from chuk_mcp_math_server import create_math_server
# Create server with custom configuration
server = create_math_server(
transport="http",
port=9000,
domain_allowlist=["arithmetic"], # Only arithmetic functions
function_denylist=["deprecated_func"], # Exclude specific functions
log_level="DEBUG"
)
# Run the server
server.run()
š Performance
Benchmarks
- Peak Throughput: 36,000+ requests/second
- Average Latency: <3ms per tool call
- Startup Time: ~2 seconds (393 functions loaded)
- Memory Usage: ~50MB baseline
- Success Rate: 100% under load testing
Performance comes from:
- chuk-mcp-server framework: High-performance MCP implementation
- Async operations: Non-blocking I/O for all function calls
- Type safety: Automatic schema validation with zero overhead
- Optimized registry: Fast function lookup and execution
Optimization Tips
- Use function filtering to reduce memory footprint
- Enable caching for repeated calculations (
--cache-strategy smart) - Use HTTP transport for web APIs, STDIO for local/Claude Desktop
- Adjust
--max-concurrent-callsfor high-throughput scenarios
š§ Troubleshooting
Common Issues
Server Won't Start
# Verify installation
python -c "import chuk_mcp_math_server; print(chuk_mcp_math_server.__version__)"
# Verify configuration
chuk-mcp-math-server --show-config
# Debug mode
chuk-mcp-math-server --verbose
Functions Not Loading
# Check if chuk-mcp-math is installed
python -c "import chuk_mcp_math; print(chuk_mcp_math.__version__)"
# Verify function count
chuk-mcp-math-server --show-config | grep total_filtered
Claude Desktop Not Showing Tools
- Use absolute paths in claude_desktop_config.json (not
~or relative) - Test manually:
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | uv run chuk-mcp-math-server - Restart Claude Desktop after config changes
- Check Claude Desktop logs (Help ā Show Logs)
HTTP Connection Issues
# Test server health
curl http://localhost:8000/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}'
š¤ Contributing
We welcome contributions! Here's how to help:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes
- Add tests if applicable
- Ensure tests pass (
pytest) - Submit a pull request
Code Style
- Follow PEP 8 guidelines
- Maintain 100% type safety with mypy and Pydantic
- Add type hints where appropriate
- Update documentation for new features
- Keep the README up to date
- Aim for high test coverage (currently 97%)
š Requirements
Core Dependencies
- Python 3.11+
chuk-mcp-server >= 0.6(provides high-performance MCP framework)chuk-mcp-math >= 0.1.0(provides mathematical functions)pyyaml >= 6.0.2(for YAML configuration)
What's Included via chuk-mcp-server
- High-performance HTTP/STDIO transport
- Automatic type inference and validation
- Built-in logging and error handling
- Zero-config startup capability
- Production-grade performance (36K+ RPS)
Optional Dependencies
- Development tools:
pytest,pytest-asyncio - All optional:
pip install -e .[dev]
šļø Architecture
Built on chuk-mcp-server framework:
- chuk-mcp-server: High-performance MCP server framework (36K+ RPS)
- chuk-mcp-math: Mathematical function library (393 functions)
- This server: Bridges the two with filtering and configuration
The refactored architecture is simpler and more performant:
- Removed custom base server implementation
- Uses chuk-mcp-server's decorator-based API
- Maintains all filtering and configuration features
- Gains automatic performance optimization
š License
This project is licensed under the MIT License - see the LICENSE file for details.
š Acknowledgments
- Built on chuk-mcp-server - High-performance MCP framework
- Mathematical functions from chuk-mcp-math
- Follows the Model Context Protocol specification
š Links
- chuk-mcp-server: GitHub | Docs
- chuk-mcp-math: GitHub
- MCP Protocol: Official Specification
- Issues: GitHub Issues
Made with ā¤ļø by the Chuk MCP Team
High-performance mathematical computation for the Model Context Protocol ecosystem