# irontology-mcp

> irontology-mcp — promptexecution-irontology-mcp. Use this tool when you need to ensure memory safety in inference runtime ontology applications, particularly those built with Rust. It solves problems related to secure and reliable ontology management, providing a robust interface for git-based version control and collaborative development. Ideal for use cases requiring high-performance, memory-safe inference runtime ontology management.

Canonical page: https://skillsregistry.net/skills/promptexecution-irontology-mcp  
JSON: https://api.skillsregistry.net/v1/skills/promptexecution-irontology-mcp

## Description

irontology - a memory safe rust Inference Runtime Ontology

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/PromptExecution/irontology-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": "promptexecution-irontology-mcp"
    }
  }
}
```

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