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MCP server · AI

Practice

by · github.com/abrahamgalue/mcp-practice

Repositorio para practicar con MCP

Unclaimed last commit a year ago ai
InstallView source
52Fair

Scored 12 days ago · breakdown

About Practice

Practice is an MCP server published by abrahamgalue in the AI category: repositorio para practicar con MCP.

The repository has 1 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/abrahamgalue/mcp-practice

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

🔌 TypeScript: MCP (Model Context Protocol)

Pequeño servidor MCP de práctica con una herramienta para consultar el clima.

vista-previa

vista-previa

🚀 Descripción

Este repositorio contiene un servidor de ejemplo construido con @modelcontextprotocol/sdk en TypeScript. Expone una herramienta (fetch-weather) que consulta el clima actual usando Open‑Meteo, valida la entrada con Zod y se comunica por stdio para integrarse con clientes compatibles con MCP.

  • Archivo principal: main.ts
  • Herramienta incluida: fetch-weather (parámetro: city como string)
  • Salida: información del clima en formato JSON (día actual y temperatura, entre otros).

⚡ Comenzar

Prerrequisitos

  1. Git
  2. Node.js 20 o superior
  3. Un gestor de paquetes (pnpm o npm)
  4. (Opcional) Un cliente MCP compatible para conectarse por stdio (p. ej., Claude Desktop u otro cliente MCP)

🔧 Instalación

  1. Clona el repositorio:

    git clone https://github.com/abrahamgalue/mcp-practice.git
cd mcp-practice

  2. Instala las dependencias (elige tu gestor):

    # con pnpm
pnpm install

# o con npm
npm install

▶️ Ejecución

Este servidor se comunica por stdio. La forma recomendada para probarlo localmente es usar el MCP Inspector:

npx -y @modelcontextprotocol/inspector npx -y tsx main.ts
  • Con esto podrás inspeccionar y ejecutar la herramienta fetch-weather de forma interactiva.
  • Para integrarlo con un cliente MCP, configura el cliente para ejecutar el mismo comando en este directorio.

🧰 Herramientas disponibles

  • fetch-weather
    • Descripción: Obtiene el clima de una ciudad.
    • Parámetros: { city: string }
    • Respuesta: bloque de texto con JSON de Open‑Meteo (pronóstico del día actual).

Notas:

  • Si la ciudad no se encuentra, retorna un mensaje indicando que no hubo resultados.
  • Usa la API de geo-codificación y pronóstico de Open‑Meteo (no requiere API key).

🎭 Tecnologías

README fetched from the repository 5 days ago. The original is authoritative.

Questions

About Practice

How do I install Practice?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Practice safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Practice still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.