# Stockfish MCP

> Use this tool when you need to engage in a game of chess against a powerful AI opponent, leveraging the capabilities of Stockfish to improve your chess skills or test strategies. It solves the problem of finding a suitable chess opponent for large language models (LLMs) and provides an interface for inputting moves and receiving responses. The tool takes chess moves as input and outputs the corresponding moves from Stockfish, allowing for a dynamic and interactive game.

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

## Description

A Stockfish MCP server to allow an LLM to play chess against Stockfish

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** v0.1.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.stepbot%2Fstockfish-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": "io-github-stepbot-stockfish-mcp"
    }
  }
}
```

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