MCP Character Counter

MCP Character Counter

A lightweight server that provides detailed text analysis, counting total characters, characters without spaces, letters, numbers, and symbols for AI assistants like Claude Desktop and GitHub Copilot.

Category
Visit Server

Tools

count-characters-in-text

Count characters in a text

README

MCP Character Counter

A lightweight Model Context Protocol (MCP) server that provides detailed character analysis for text. This tool counts total characters, characters without spaces, letters, numbers, and symbols.

Features

  • Count total characters in text
  • Count characters excluding spaces
  • Count letters (a-z, A-Z)
  • Count numbers (0-9)
  • Count symbols (non-alphanumeric characters)
  • Detailed breakdown of character types

image

Installation

Prerequisites

Setup

  1. Clone the repository:

    git clone https://github.com/webreactiva-devs/mcp-character-counter.git
    cd mcp-character-counter
    
  2. Install dependencies:

    npm install
    

Usage with Claude Desktop

  1. Open your Claude Desktop configuration:

    macOS:

    code ~/Library/Application\ Support/Claude/claude_desktop_config.json
    

    Windows:

    code %APPDATA%\Claude\claude_desktop_config.json
    
  2. Add the character counter to your MCP servers:

    {
      "mcpServers": {
        "character-counter": {
          "command": "node",
          "args": [
            "/ABSOLUTE/PATH/TO/webreactiva-devs/mcp-character-counter/mcp/character-counter.js"
          ]
        }
      }
    }
    

    Replace /ABSOLUTE/PATH/TO/ with the actual path on your system.

  3. Restart Claude Desktop to load the new MCP server.

  4. Look for the hammer icon in the input box, which indicates available MCP tools.

  5. Ask Claude to analyze text character counts, for example:

    • "Count the characters in this paragraph"
    • "How many numbers are in this text: '123 Main St, Apt 45B'?"
    • "Analyze the character composition of my email address"

Usage with GitHub Copilot

To use this MCP server with GitHub Copilot:

  1. Make sure you have GitHub Copilot installed in your VS Code or other compatible IDE.

  2. Open VS Code settings and search for "Copilot MCP".

  3. Add a new MCP server configuration:

    "github.copilot.advanced": {
      "mcp.servers": [
        {
          "id": "character-counter",
          "name": "Character Counter",
          "transport": "stdio",
          "command": "node",
          "args": ["/path/to/webreactiva-devs/mcp-character-counter/mcp/character-counter.js"]
        }
      ]
    }
    
  4. Restart VS Code.

  5. You can now use the character counter with Copilot Chat commands like:

    • /mcp count-characters-in-text This is the text I want to analyze

Development

To modify or extend this MCP server:

  1. Make your changes to character-counter.js
  2. Restart the server in your MCP client

How It Works

This MCP server implements a single tool called count-characters-in-text that accepts text input and returns a detailed analysis of character composition. The server uses the Model Context Protocol to expose this functionality to compatible AI assistants.

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.


Contador de Caracteres MCP

Un servidor ligero de Model Context Protocol (MCP) que proporciona un análisis detallado de caracteres en un texto. Esta herramienta cuenta caracteres totales, caracteres sin espacios, letras, números y símbolos.

Características

  • Cuenta el total de caracteres en un texto
  • Cuenta caracteres excluyendo espacios
  • Cuenta letras (a-z, A-Z)
  • Cuenta números (0-9)
  • Cuenta símbolos (caracteres no alfanuméricos)
  • Desglose detallado de tipos de caracteres

Instalación

Requisitos previos

Configuración

  1. Clona el repositorio:

    git clone https://github.com/webreactiva-devs/mcp-character-counter.git
    cd mcp-character-counter
    
  2. Instala las dependencias:

    npm install
    

Uso con Claude Desktop

  1. Abre la configuración de Claude Desktop:

    macOS:

    code ~/Library/Application\ Support/Claude/claude_desktop_config.json
    

    Windows:

    code %APPDATA%\Claude\claude_desktop_config.json
    
  2. Añade el contador de caracteres a tus servidores MCP:

    {
      "mcpServers": {
        "character-counter": {
          "command": "node",
          "args": [
            "/RUTA/ABSOLUTA/A/webreactiva-devs/mcp-character-counter/mcp/character-counter.js"
          ]
        }
      }
    }
    

    Reemplaza /RUTA/ABSOLUTA/A/ con la ruta actual en tu sistema.

  3. Reinicia Claude Desktop para cargar el nuevo servidor MCP.

  4. Busca el icono de martillo en la caja de entrada, que indica las herramientas MCP disponibles.

  5. Pide a Claude que analice el recuento de caracteres en un texto, por ejemplo:

    • "Cuenta los caracteres en este párrafo"
    • "¿Cuántos números hay en este texto: '123 Calle Principal, Apto 45B'?"
    • "Analiza la composición de caracteres de mi dirección de correo electrónico"

Uso con GitHub Copilot

Para usar este servidor MCP con GitHub Copilot:

  1. Asegúrate de tener GitHub Copilot instalado en VS Code u otro IDE compatible.

  2. Abre la configuración de VS Code y busca "Copilot MCP".

  3. Añade una nueva configuración de servidor MCP:

    "github.copilot.advanced": {
      "mcp.servers": [
        {
          "id": "character-counter",
          "name": "Character Counter",
          "transport": "stdio",
          "command": "node",
          "args": ["/ruta/a/webreactiva-devs/mcp-character-counter/mcp/character-counter.js"]
        }
      ]
    }
    
  4. Reinicia VS Code.

  5. Ahora puedes usar el contador de caracteres con comandos de Copilot Chat como:

    • /mcp count-characters-in-text Este es el texto que quiero analizar

Desarrollo

Para modificar o extender este servidor MCP:

  1. Realiza tus cambios en character-counter.js
  2. Reinicia el servidor en tu cliente MCP

Cómo funciona

Este servidor MCP implementa una única herramienta llamada count-characters-in-text que acepta texto como entrada y devuelve un análisis detallado de la composición de caracteres. El servidor utiliza el Protocolo de Contexto del Modelo para exponer esta funcionalidad a asistentes de IA compatibles.

Licencia

MIT

Contribuir

¡Las contribuciones son bienvenidas! Por favor, no dudes en enviar un Pull Request.

Colofón

Creado con 🧡 para la Comunidad Malandriner de webreactiva.com

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured