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6 days ago
glama

sdlc-assist-mcp

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

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// key findings
5 tools verified — handlers match their declared behaviour
5 read-only tools verified — handlers contain no write/delete/exec
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: SUPABASE_SERVICE_ROLE_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.
configPORT
configSUPABASE_URLYes Supabase project URL
🔐 secretSUPABASE_SERVICE_ROLE_KEYyour-service-role-key-here
configVERTEXAI_PROJECT_IDsdlc-assist
configVERTEXAI_LOCATIONus-central1
// 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/ramseychad1-sdlc-assist-mcp-wne3ki)](https://m8ven.ai/mcp/ramseychad1-sdlc-assist-mcp-wne3ki)
commit: b3beb0cb3f66e65b50eb8c6c2e4b381dade6ebed
code hash: 9152bfe75c9b4b780657e103999c9a6654873b78544ef918e2bf1f43d73925e1
verified: 6/23/2026, 10:06:56 AM
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