# ArchVanguard-MCP

> ArchVanguard-MCP — mrguevar4-archvanguard-mcp. Use this tool when you need to enforce architecture rules in AI agent codebases, solving problems like layer violations, forbidden imports, and cyclic dependencies. It analyzes Python import graphs against declarative rulesets, providing detailed reports with file and line numbers. Ideal for integrating with frameworks like MCP, OpenAI, and Anthropic, it ensures codebase integrity and maintainability.

Canonical page: https://skillsregistry.net/skills/mrguevar4-archvanguard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mrguevar4-archvanguard-mcp

## Description

Framework-agnostic architecture-rule enforcement for AI agents: analyzes Python codebases import graphs against declarative rulesets to report layer, forbidden-import, and cycle violations with file and line numbers. Supports MCP, OpenAI, Anthropic, LangChain, LlamaIndex, and CLI integrations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dhknjpdtd9)
- **Repository:** <https://github.com/MrGuevar4/ArchVanguard-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": "mrguevar4-archvanguard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrguevar4-archvanguard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrguevar4-archvanguard-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
