What tools does Toy Server provide?

It exposes two basic tools: 'random_animal' to return a random animal from a list, and 'roll_d20' to simulate a 20-sided die roll (1-20).

Toy Server is a sample Model Context Protocol (MCP) server built using Anthropic's official Python SDK. It's designed for demonstration and development purposes.

Is Toy Server compatible with Claude Desktop?

Yes, Toy Server can be easily registered with Claude Desktop using a simple CLI command. This allows Claude Desktop to discover, launch, and utilize its exposed tools seamlessly.

How is Toy Server useful for developers?

It functions as a simple, stateless, and MCP-native reference implementation. Developers can use it to understand and integrate the Model Context Protocol, leveraging its flexible transport options.

Toy Server

Name: Toy Server
Author: mircorudolph

bymircorudolph

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Herramientas para Desarrolladores

Desarrollo de API

Aprendizaje y Documentación

Provides a sample Model Context Protocol server exposing two basic tools for demonstration and development purposes.

This project implements a foundational Model Context Protocol (MCP) server designed as a lightweight reference and demonstration. Built with Anthropic's official Python SDK, it exposes two simple tools: `random_animal` for fetching a random animal, and `roll_d20` for simulating a 20-sided die roll. The server is fully MCP-native, leveraging `FastMCP` for adherence to the MCP specification, and offers flexibility across stdio, streamable HTTP, and SSE transports, making it an ideal starting point for developers exploring MCP tool integration and development.

Características Principales

01MCP-native implementation using FastMCP from the official Python SDK

020 GitHub stars

03Stateless and simple design, suitable as a reference server

04Exposes 'roll_d20' tool to simulate a 20-sided die roll

05Flexible transport options including stdio, streamable HTTP, and SSE

06Exposes 'random_animal' tool to return a random animal

Casos de Uso

01Learning and experimenting with the Model Context Protocol

02Testing integration with MCP-aware clients like Claude Desktop or MCP Inspector

03Serving as a reference implementation for custom MCP server development