# Old School RuneScape Wiki and Data Server

> Use this tool when you need to access and integrate comprehensive Old School RuneScape knowledge into your projects, providing seamless search and retrieval of game data and wiki content. It solves problems related to OSRS data exploration and integration, offering efficient access to game variables, NPCs, items, and more. With a powerful search interface and git capabilities, it enables easy retrieval of data for use in various applications and projects.

Canonical page: https://skillsregistry.net/skills/watersippin-mcp-osrs  
JSON: https://api.skillsregistry.net/v1/skills/watersippin-mcp-osrs

## Description

Provide seamless access to Old School RuneScape Wiki content and game data files through powerful search and retrieval tools. Enable efficient exploration of game variables, interface definitions, NPCs, items, animations, and more to enhance your OSRS-related projects. Integrate comprehensive OSRS knowledge directly into your applications with ease.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-04-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/WaterSippin/mcp-osrs)
- **Repository:** <https://github.com/jayarrowz/mcp-osrs>

## 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": "watersippin-mcp-osrs"
    }
  }
}
```

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