How does test-http-mcp ensure tool input and output quality?

All exposed tool functions leverage Pydantic v2 for robust input and output validation, ensuring data integrity and consistency for interactions with MCP clients.

What types of functionalities are demonstrated by test-http-mcp?

It showcases various example tools, including data retrieval, access to incoming request context, and a prompt for dynamic content generation. A simple context mechanism also tracks session-specific tool calls.

What is test-http-mcp?

It's a Python-based demonstration of a Model Context Protocol (MCP) server, built with the `http-mcp` package to expose example tools and prompts for MCP-capable clients.

What communication modes does test-http-mcp support?

It supports both HTTP (via Starlette/Uvicorn) and standard input/output (stdio) communication modes, offering flexibility for integration into various environments.

Demo

Name: Demo
Author: yeison-liscano

byyeison-liscano

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Aprendizaje y Documentación

Provides a demonstration of an MCP server implementation using the `http-mcp` package, exposing example tools and prompts.

This project offers a practical demonstration of an MCP (Model Context Protocol) server built with the `http-mcp` Python package. It showcases how to expose custom tools and prompts to any MCP-capable client, running efficiently over both HTTP (via Starlette/Uvicorn) and standard I/O (stdio). The demo includes illustrative examples of various tools, such as retrieving weather, getting current time, accessing request context, and tracking called tools, alongside a templated prompt for generating advice. It serves as an excellent reference for developers looking to integrate AI agents with external capabilities using the MCP standard.

Características Principales

01Offers an example prompt demonstrating dynamic content generation based on user input.

02Exposes a variety of example tools, including data retrieval and access to incoming request context.

03Supports both HTTP (Starlette/Uvicorn) and stdio communication modes for MCP server deployment.

04Leverages Pydantic v2 for robust input and output validation of all exposed tool functions.

05Includes a simple context mechanism to track session-specific tool calls.

060 GitHub stars

Casos de Uso

01Testing and validating MCP client configurations and interactions with a live server.

02Demonstrating the capabilities and implementation of the Model Context Protocol (MCP).

03Serving as a foundational example for building custom MCP servers in Python.