# chess-mcp

> chess-mcp — adityareus-chess-mcp. Use this tool when you need to analyze chess player performance and head-to-head records, as it fetches and filters chess.com game data, returning compact summaries. It solves the problem of handling massive JSON data, making it easier for LLMs to answer questions about chess games. The tool takes chess.com game data as input and outputs concise summaries, ideal for use cases where efficient data analysis is required.

Canonical page: https://skillsregistry.net/skills/adityareus-chess-mcp  
JSON: https://api.skillsregistry.net/v1/skills/adityareus-chess-mcp

## Description

An MCP server that fetches and filters chess.com game data, returning compact summaries instead of massive JSON, enabling LLMs to answer questions about player performance and head-to-head records.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wm447cc7lv)
- **Repository:** <https://github.com/adityareus/chess-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": "adityareus-chess-mcp"
    }
  }
}
```

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