What arithmetic operations does the server support?
The server supports addition, subtraction, multiplication, division, and modulo.
@KeerthiNingegowda
基本信息
A simple calculator app with MCP compliant server and client
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A minimal calculator server and client built with FastMCP to explore the Model Context Protocol (MCP) and tool calling. It supports basic arithmetic operations (add, subtract, multiply, divide, modulo) and is intended for developers learning MCP fundamentals.
Install dependencies with uv sync, then activate the environment with source .venv/bin/activate. To inspect the server, navigate to the fastmcp_calculator_server folder and run mcp dev server.py. To run the full MCP application, go to mcp_calculator/mcp_compliant_client and run python client.py <path to server.py>. A valid Anthropic API key must be set in a .env file.
The server supports addition, subtraction, multiplication, division, and modulo.
First install dependencies with `uv sync` and activate the virtual environment. To inspect the server, run `mcp dev server.py` inside the `fastmcp_calculator_server` folder. To run the full app, execute `python client.py <path to server.py>` from the `mcp_calculator/mcp_compliant_client` folder.
The project requires Python, `uv`, FastMCP, and an Anthropic API key stored in a `.env` file. The MCP client needs access to an LLM (Anthropic).
No. The README explicitly notes that storing previous chat history is not supported to keep the implementation simple.
Annotations in FastMCP are not supported in the version specified by the lock file. Input validation by server or client is not implemented. Some newer MCP features may be unavailable or buggy due to the early stage of the technologies used.
A search tool helps dev to solve the naming things problem.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
评论