# Stockfish

> Use this tool when you need to integrate a chess engine into a large language model, enabling games against the Stockfish engine with features like board state retrieval and move execution. It solves problems like generating chess moves, checking game status, and retrieving results, with inputs including UCI notation and outputs like game status and results. Ideal for use cases requiring adjustable difficulty levels and interactive chess gameplay.

Canonical page: https://skillsregistry.net/skills/stepbot-stockfish  
JSON: https://api.skillsregistry.net/v1/skills/stepbot-stockfish

## Description

Enables large language models to play chess against the Stockfish engine through the Model Context Protocol. Provides board state retrieval, move execution in UCI notation, game status checking, result retrieval, and game reset with adjustable difficulty levels. Users must download the Stockfish chess engine binary independently.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stepbot-stockfish)
- **Repository:** <https://github.com/stepbot/stockfishmcp>

## 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": "stepbot-stockfish"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stepbot-stockfish` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stepbot-stockfish/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
