What is Mcp Calc Tools

mcp-calc-tools is a Model Context Protocol (MCP) server that provides advanced mathematical and financial calculation tools for integration with AI code assistants like Cline and Roo Code.

Use cases

Use cases include assisting students with calculus problems, enabling financial analysts to compute present values and option prices, and providing engineers with tools for numerical analysis and mathematical modeling.

How to use

To use mcp-calc-tools, clone the repository from GitHub, navigate to the project directory, and install the necessary dependencies. After setup, you can interact with the server through its standardized interface to perform various calculations.

Key features

Key features include symbolic calculus (derivatives, integrals, limits, and equation solving), numerical methods (Riemann sums, Darboux sums, area and volume calculations), mathematical transforms (Laplace, Fourier, and Z-transforms), financial tools (compound interest, present value, NPV, Black-Scholes model, and option Greeks), and utility functions (logarithm and exponential calculations).

Where to use

mcp-calc-tools can be used in fields such as education, finance, engineering, and any domain requiring complex mathematical computations or financial analysis.

MCP Calc Tools

A Model Context Protocol (MCP) server that provides advanced mathematical and financial calculation tools for integration with AI code assistants like Cline and Roo Code.

Overview

MCP Calc Tools exposes mathematical computation capabilities through a standardized interface that AI assistants can interact with. This enables AI tools to perform complex calculations without having to implement mathematical algorithms directly.

Features

Mathematical Tools

• Symbolic Calculus
  • derivative: Calculate symbolic derivatives of expressions
  • integral: Compute symbolic integrals
  • limit: Evaluate limits as variables approach specified values
  • solve: Solve equations for specific variables

Numerical Methods

• riemann_sum: Calculate definite integrals using Riemann sums with multiple methods (left, right, midpoint, trapezoid)
• darboux_sum: Calculate upper and lower Darboux sums for integral approximation
• area: Calculate the area under a curve between two points
• volume: Calculate volume of revolution around x-axis

Mathematical Transforms

• laplace_transform: Calculate Laplace transforms of functions
• fourier_transform: Calculate Fourier transforms of functions
• z_transform: Calculate Z-transforms of discrete-time functions

Financial Tools

• compound_interest: Calculate compound interest with customizable compounding periods
• present_value: Calculate present value of future cash flows
• npv: Calculate Net Present Value of cash flow series
• black_scholes: Calculate option prices using the Black-Scholes model
• option_greeks: Calculate option Greeks (delta, gamma, vega, theta, rho)

Utility Functions

• logarithm: Calculate logarithm with any base
• exponential: Calculate exponential function (e^x)

Installation

# Clone the repository
git clone https://github.com/yourusername/mcp-calc-tools.git

# Navigate to project directory
cd mcp-calc-tools

# Install dependencies
npm install
# or
pnpm install

Usage

Starting the MCP server

# Make the script executable (if needed)
chmod +x index.js

# Run the server
npm start
# or
node index.js

Integrating with AI Assistants

To use MCP Calc Tools with AI coding assistants:

1. Configure your AI assistant (Cline/Roo Code) to use the MCP server
2. Set the server URL to your running instance
3. The AI assistant will now have access to all the mathematical tools

Example request to calculate a derivative:

Calculate the derivative of x^2*sin(x)

Requirements

• Node.js v14 or higher
• Required packages:
  • genkit (^1.0.5)
  • genkitx-mcp (^1.0.5)
  • mathjs (^12.0.0)

Development

The project is structured as follows:

• index.js: Main server implementation with all tool definitions
• package.json: Project dependencies and script definitions

License

[Add your license information here]

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.