# Japanese Character Counter MCP Server

> Use this tool when you need to accurately count Japanese characters in text, solving problems with text length calculations and character limits. It takes Japanese text as input and outputs the correct character count, handling complex characters and surrogate pairs. Ideal for use cases involving Japanese text processing, such as validating user input or calculating text lengths for display.

Canonical page: https://skillsregistry.net/skills/tarakomasu-mcp-practice  
JSON: https://api.skillsregistry.net/v1/skills/tarakomasu-mcp-practice

## Description

Accurately counts Japanese text characters using grapheme clusters, properly handling surrogate pairs and combining characters through the Intl.Segmenter API.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n2m221s49z)
- **Repository:** <https://github.com/tarakomasu/mcp-practice>

## 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": "tarakomasu-mcp-practice"
    }
  }
}
```

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