Self-hosted audio API in one Docker container. Stem separation, mastering, BPM/key match, fingerprinting, similarity, EQ, sidechain duck, MIDI composition + rendering, MIR analysis, effects chain, loudness normalization. REST + MCP. CPU and CUDA. Drive it from a shell, DAW pipeline, or LLM agent.
Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.
Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.
graded 12m ago · see ecosystem CVEs →
no known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
[](https://mcpobservatory.com/servers/github:psyb0t/docker-audiolla/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 psyb0t.