mcp-server-calculator

3.2

If you are the rightful owner of mcp-server-calculator and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This is a simple example of how to build an MCP server that provides basic math operations to an MCP client.

The Model Context Protocol (MCP) server is designed to enable Language Learning Models (LLMs) to access custom tools and services. This example demonstrates a basic calculator server that offers fundamental math operations to a client. MCP provides a standardized way for AI models to interact with external systems, allowing developers to write code once and make it accessible to all AI systems. The server acts as a crucial component that enriches LLMs with external data and context, enhancing their capabilities. The tech stack for this project includes Python3, Pytest, MCP SDK, MCP CLI, and optionally Nix for a reproducible development environment. The server can be set up using Smithery for automatic installation or through alternative methods like uv for building the package. Testing and running the server locally can be done using the MCP Inspector, a GUI tool for testing custom MCP servers.

Features

Provides basic math operations to MCP clients.
Standardized protocol for AI models to interact with external systems.
Reproducible and isolated development environment using Nix.
Integration with MCP Inspector for testing.
Support for different installation methods including Smithery and uv.

Tools

MCP Inspector
A GUI tool for testing custom MCP servers through web interfaces
MCP SDK
Python library for developing MCP servers
MCP CLI
Command line tools for managing MCP servers

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