# Ruledex

> Use this tool when you need to deploy AI models in a production-ready state, leveraging its MCP Server capabilities to streamline coding and integration. Ruledex solves problems related to AI model deployment, version control, and collaboration, accepting inputs from git and outputting production-level code. Ideal for use cases requiring scalable and efficient AI model deployment, Ruledex bridges the gap between development and production environments.

Canonical page: https://skillsregistry.net/skills/neksi11-ruledex  
JSON: https://api.skillsregistry.net/v1/skills/neksi11-ruledex

## Description

MCP Server which can get your AI's to Code in an Production level state.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Neksi11/ruledex)
- **Repository:** <https://github.com/Neksi11/RuleDEX>

## 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": "neksi11-ruledex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neksi11-ruledex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neksi11-ruledex/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