# oj-mcp-rs

> oj-mcp-rs — cxyfer-oj-mcp-rs. Use this tool when you need to access online judge problem data from platforms like LeetCode, Codeforces, AtCoder, and Luogu, and integrate it with Large Language Models (LLMs) via standard input/output interface. It solves the problem of fetching and exposing problem data to LLM clients, providing a seamless interface for data exchange. This tool is ideal for use cases where LLMs require online judge problem data for training, testing, or other applications.

Canonical page: https://skillsregistry.net/skills/cxyfer-oj-mcp-rs  
JSON: https://api.skillsregistry.net/v1/skills/cxyfer-oj-mcp-rs

## Description

MCP server exposing online judge problem data (LeetCode, Codeforces, AtCoder, Luogu) to LLM clients via stdio transport

## 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:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/cxyfer/oj-mcp-rs)

## 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": "cxyfer-oj-mcp-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cxyfer-oj-mcp-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cxyfer-oj-mcp-rs/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