MCP_Options_Strategy

# MCP Options Strategy Server This repository contains the MCP server code for executing **Call and Put Options** on **Claude Desktop**. It provides a streamlined approach to managing options trading operations efficiently. ## Getting Started ### Prerequisites - Python 3.8+ installed - `uv` for managing dependencies ### Setting Up Your Environment To begin, set up your virtual environment and install uv. Then proceed as follows: ```bash uv init mcp-server-demo cd mcp-server-demo ``` Then add MCP to your project dependencies: ```bash uv add "mcp[cli]" ``` To run the mcp command with uv: ```bash uv run mcp ``` ## MCP server code ```python # server.py # This script initializes an MCP server for options calculations, # providing tools to compute breakeven points and payoffs for Call and Put options. from mcp.server.fastmcp import FastMCP from options_library import Put, Call # Create an instance of the FastMCP server # "Demo_Options" serves as the namespace for the tools mcp = FastMCP("Demo_Options") # Define a tool for Call Option analysis @mcp.tool() def call_option(strike: float, premium: float) -> dict: """ Computes breakeven price and potential payoffs for a Call Option. Parameters: strike (float): Strike price of the Call option. premium (float): Premium paid to purchase the option. Returns: dict: A dictionary containing: - breakeven: Price at which the option breaks even. - max_profit: Theoretically infinite (since profits scale with the underlying asset price). - max_loss: Fixed loss, equal to the premium paid. """ call = Call(strike, premium) return { "breakeven": call.breakeven(), "max_profit": "infinite", # Unlimited profit potential "max_loss": call.premium # Limited loss equal to the premium } # Define a tool for Put Option analysis @mcp.tool() def put_option(strike: float, premium: float) -> dict: """ Computes breakeven price and potential payoffs for a Put Option. Parameters: strike (float): Strike price of the Put option. premium (float): Premium paid to purchase the option. Returns: dict: A dictionary containing: - breakeven: Price at which the option breaks even. - max_profit: Maximum profit if asset price drops to zero. - max_loss: Fixed loss, equal to the premium paid. """ put = Put(strike, premium) return { "breakeven": put.breakeven(), "max_profit": strike - premium, # Profit is capped at the strike price minus the premium "max_loss": premium # Limited loss equal to the premium } ``` Run the MCP server ```bash mcp install server.py ``` ## Claude Desktop config file and screenshot ```JSON { "mcpServers": { "server": { "command": "/Users/arkaroychowdhury/.local/bin/uv", "args": [ "run", "--with", "mcp[cli]", "mcp", "run", "/Users/arkaroychowdhury/Desktop/2025-Portfolio/Code/MCP/mcp-server-demo/server.py" ] } } } ``` <img width="766" alt="Screenshot 2025-06-14 at 5 43 31 PM" src="https://github.com/user-attachments/assets/fd6c17d5-4fec-4ecc-b3d4-f4d46b390e0f" />