langgraph-clean-arch

MCP server implementing clean architecture with LangGraph for building and managing agent workflows.

→ FranciscoValadao/mcp-langgraph-clean-arch · listed on glama

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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.

🔐

You'll be asked for 1 credential: OPENAI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretOPENAI_API_KEY— your_openai_api_key_here

configSERVER_NAME

// 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 6 concrete improvements 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/franciscovaladao-mcp-langgraph-clean-arch-1nwhb9)](https://m8ven.ai/mcp/franciscovaladao-mcp-langgraph-clean-arch-1nwhb9)

commit: 4366ea2a4d9317e6554bf8079f4a31e4bbcb829f

code hash: 660fb8624cf9d59b6d830a6c8ebb5fcd6c108eeb552ebc8a5a5d186a218b3009

verified: 6/23/2026, 10:41:09 AM

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