# Shogi MCP Server

> Use this tool when you need to analyze and evaluate shogi positions and moves, or assess game states. It integrates with USI protocol engines to provide position analysis, move evaluation, and game state assessment through an HTTP API bridge and MCP tools. Ideal for AI agents requiring strategic insights into shogi gameplay, it accepts game positions and moves as inputs and returns evaluation outputs.

Canonical page: https://skillsregistry.net/skills/azumausu-shogi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/azumausu-shogi-mcp

## Description

Enables AI agents to analyze shogi (Japanese chess) positions and moves by integrating with USI protocol engines. Provides position analysis, move evaluation, and game state assessment through HTTP API bridge and MCP tools.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/avs5ctcqyw)
- **Repository:** <https://github.com/azumausu/shogi-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": "azumausu-shogi-mcp"
    }
  }
}
```

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