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ArchVanguard-MCP

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.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mrguevar4-archvanguard-mcp-1gbgm8)](https://m8ven.ai/mcp/mrguevar4-archvanguard-mcp-1gbgm8)
commit: d54f49227757731f99de1c0b3166eaf828ec3d8f
code hash: 5c07ad59ce29773a9c43cd7a17888bb17fe5eb4bb7826d2fac553fe8ef42d23d
verified: 7/21/2026, 8:40:51 AM
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