# MCP OI-Wiki

> Use this tool when you need to enhance large language models with competitive programming knowledge, solving problems related to algorithm and technique retrieval. It leverages OI-Wiki content through vector search, allowing models to retrieve relevant information. Ideal for use cases where accurate and efficient retrieval of programming concepts is crucial, such as coding competitions or complex problem-solving tasks.

Canonical page: https://skillsregistry.net/skills/shwstone-mcp-oi-wiki  
JSON: https://api.skillsregistry.net/v1/skills/shwstone-mcp-oi-wiki

## Description

Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ar57rwrzxv)
- **Repository:** <https://github.com/ShwStone/mcp-oi-wiki>

## 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": "shwstone-mcp-oi-wiki"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shwstone-mcp-oi-wiki` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shwstone-mcp-oi-wiki/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