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1 month ago
glama

MCP Server

A minimal Django project exposing MCP-style endpoints for listing and fetching records, and generating OpenAI responses via the Responses API using an in-memory store.

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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.
configDJANGO_DEBUG
configDJANGO_ALLOWED_HOSTS
🔐 secretOPENAI_API_KEYAPI key used to authenticate with OpenAI. _Empty string (required for live requests)_
configOPENAI_BASE_URLBase URL for the OpenAI API. Override when routing through compatible gateways. https://api.openai.com/v1
configOPENAI_MODELModel identifier passed to the Responses API. gpt-4o-mini
// 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 2 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/mehran-shabani-mcp-server-1tyww2)](https://m8ven.ai/mcp/mehran-shabani-mcp-server-1tyww2)
commit: b3c5077efd94f3d3eb14732413c0ea89ee4cc625
code hash: 70dda4856e4ed10d4604730c421b1778f2b4b874d651c96438421c2753ad8eec
verified: 6/18/2026, 10:45:41 AM
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