# count-mcp

> count-mcp — mukundakatta-count-mcp. Use this tool when you need to analyze text metrics, such as counting lines, words, and characters, to solve problems like text statistics and data processing. It takes text input and outputs detailed metrics, including code points, paragraphs, and bytes. Use count-mcp in contexts like data analysis, text processing, and version control with git.

Canonical page: https://skillsregistry.net/skills/mukundakatta-count-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mukundakatta-count-mcp

## Description

MCP server: count lines, words, chars, code points, paragraphs, and bytes in text.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/MukundaKatta/count-mcp)

## 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": "mukundakatta-count-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mukundakatta-count-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mukundakatta-count-mcp/pull`

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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