MCP Word Counter

npmGitHub
  • Research & Data
JavaScript
MIT
65
4
A
security – no known vulnerabilities (report Issue)
A
license - permissive license (MIT)
A
quality - confirmed to work

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.

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_textCount words and characters in a text document

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Need Help?View Source CodeReport Issue
README.md

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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