# Deterministic Japanese Parser MCP

> Deterministic Japanese Parser MCP — seigo-gace-deterministic-japanese-parser-mcp. Use this tool when you need to accurately parse Japanese text into structured data, solving problems of intent extraction, constraint identification, and execution order determination. It takes Japanese text as input and outputs structured Task Packets, enabling safe downstream processing. Ideal for applications requiring reliable and deterministic Japanese language processing, such as text analysis, dialogue systems, or language translation.

Canonical page: https://skillsregistry.net/skills/seigo-gace-deterministic-japanese-parser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/seigo-gace-deterministic-japanese-parser-mcp

## Description

Non-AI deterministic Japanese parser that extracts intents, constraints, references, and execution order into structured Task Packets for safe downstream processing.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h348rkjxm3)
- **Repository:** <https://github.com/seigo-gace/Deterministic-Japanese-Parser-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": "seigo-gace-deterministic-japanese-parser-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seigo-gace-deterministic-japanese-parser-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seigo-gace-deterministic-japanese-parser-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