# okfy

> Use this tool when you need to efficiently navigate and extract information from complex documentation bundles in Open Knowledge Format. It solves problems related to knowledge discovery and information retrieval by enabling AI agents to search, read, and traverse documentation via MCP tools. The tool accepts documentation bundles as input and outputs relevant information, making it ideal for use cases that require quick access to structured knowledge.

Canonical page: https://skillsregistry.net/skills/0dust-okfy  
JSON: https://api.skillsregistry.net/v1/skills/0dust-okfy

## Description

Enables AI agents to search, read, and traverse documentation bundles in Open Knowledge Format via MCP tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bym1qx4e70)
- **Repository:** <https://github.com/0dust/OKFy>

## 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": "0dust-okfy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0dust-okfy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0dust-okfy/pull`

---
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