# Arch Deterministic

> Use this tool when you need to validate system architecture specifications and generate production-ready applications. It solves problems of inconsistent architecture and manual backend setup by providing a deterministic and reproducible validation process, taking in architecture specifications and rules as input and outputting complete FastAPI or Express applications with OpenAPI specs and Docker configurations. Ideal for use in development environments where consistency and reproducibility are crucial.

Canonical page: https://skillsregistry.net/skills/arch-deterministic  
JSON: https://api.skillsregistry.net/v1/skills/arch-deterministic

## Description

Arch Deterministic is an MCP server that validates system architecture specifications against configurable rules and generates production-ready FastAPI or Express applications complete with OpenAPI specs and Docker configurations. It operates without LLM inference, making architecture validation deterministic and reproducible. Published as the @archrad/deterministic CLI on npm.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arch-deterministic)
- **Repository:** <https://github.com/archradhq/arch-deterministic>

## 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": "arch-deterministic"
    }
  }
}
```

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