Word Counter
Analyzes text files to count words and characters without exposing file content to LLMs. Processes documents locally through a simple Node.js interface.
Analyze text documents, including counting words and characters, through Node.js.
What it does
- Count words in text documents
- Count characters including spaces
- Count characters excluding spaces
- Process local text files directly
Best for
About Word Counter
Word Counter is a community-built MCP server published by qpd-v that provides AI assistants with tools and capabilities via the Model Context Protocol. Use our Word Counter to quickly count the words in Word docs. Get accurate word and character counts with this word coun It is categorized under analytics data. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
How to install
You can install Word Counter in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Word Counter is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (1)
Count words and characters in a text document
MCP Word Counter
A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.
Features
- Count words in documents
- Count total characters (including spaces)
- Count characters excluding spaces
- Process files directly without exposing content to LLMs
Installation
npm install mcp-wordcounter
Usage
As a CLI tool
npx mcp-wordcounter
In Claude Desktop
Add to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"mcp-wordcounter": {
"command": "npx",
"args": ["-y", "mcp-wordcounter"],
"alwaysAllow": ["analyze_text"]
}
}
}
Available Tools
analyze_text
Counts words and characters in a text document.
Parameters:
filePath(string, required): Path to the text file to analyze
Returns:
- Word count
- Character count (including spaces)
- Character count (excluding spaces)
Example response:
{
"content": [{
"type": "text",
"text": "Analysis Results:\n• Word count: 150\n• Character count (including spaces): 842\n• Character count (excluding spaces): 702"
}]
}
Development
# Install dependencies
npm install
# Build the project
npm run build
# Run in watch mode during development
npm run watch
# Test with MCP Inspector
npm run inspector
License
MIT License - see LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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