# Word Counter

> Use this tool when you need to analyze text documents and extract quantitative information, such as word and character counts. It solves problems like document summarization, content length verification, and writing style assessment by providing a straightforward interface for AI systems to process textual content. The Word Counter tool takes text documents as input and outputs word and character counts, making it ideal for applications requiring text metrics and content creation assistance.

Canonical page: https://skillsregistry.net/skills/qpd-v-wordcounter  
JSON: https://api.skillsregistry.net/v1/skills/qpd-v-wordcounter

## Description

This MCP server, developed by Kenneth, enables AI assistants to perform word and character counting on text documents. It provides tools for analyzing files, counting words, and calculating character counts with and without spaces. The server implements efficient text processing algorithms and file handling using Node.js, offering a straightforward interface for AI systems to extract quantitative information from textual content. By connecting AI capabilities with fundamental text analysis, this implementation empowers AI assistants to perform tasks like document summarization, content length verification, or writing style assessment. It is particularly useful for applications requiring text metrics, content creation assistance, or any scenario where an AI system needs to evaluate and reason about the structure and composition of written material.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qpd-v-wordcounter)
- **Repository:** <https://github.com/qpd-v/mcp-wordcounter>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qpd-v-wordcounter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qpd-v-wordcounter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qpd-v-wordcounter/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt