MCP Observatory
5m ago Tracked 56,789 Last 5m ago 24h 2,390
github Python analyzed b1dd831

sandraschi/ai-producer-hub

github

MCP server integrating AI-powered music generation with professional production tools

maintainer
sandraschi
licence
MIT
first seen
2026-07-01
last seen
2026-09-06
releases · 30d
0
short id
risk 12/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • capability exposure inferred + 10
  • tool safety inferred + 2

inferred

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 6d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 4 → A · 12
capability exposure grade factor +10
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +2
  1. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit b1dd831 · analyzer v33 · 22h ago

skills & prompt files 4

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:sandraschi/ai-producer-hub/badge.svg)](https://mcpobservatory.com/servers/github:sandraschi/ai-producer-hub/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of sandraschi.