# lnwjud

> lnwjud — engasnm111-lnwjud. Use this tool when you need to deploy and manage AI agents locally, or require a gateway to interact with Model Control Protocol (MCP) systems. It provides a runtime environment for AI agents and facilitates communication with MCP systems, accepting inputs from git repositories and outputting controlled model interactions. Ideal for development, testing, and deployment of AI models in local environments.

Canonical page: https://skillsregistry.net/skills/engasnm111-lnwjud  
JSON: https://api.skillsregistry.net/v1/skills/engasnm111-lnwjud

## Description

lnwjud — local AI-agent runtime & MCP gateway

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/engasnm111/lnwjud)

## 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": "engasnm111-lnwjud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/engasnm111-lnwjud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/engasnm111-lnwjud/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