{"id":"jjang-ai-vmlx","name":"vmlx","af_score":62.2,"security_score":27.5,"reliability_score":28.8,"what_it_does":"vMLX is a local inference server for Apple Silicon that runs MLX-based text/vision models and provides an OpenAI/Anthropic/Ollama-compatible HTTP API (plus image generation/editing and audio STT/TTS). It also advertises MCP support via a Python dependency.","best_when":"You want to run local LLM/VLM/image/audio inference on macOS (Apple Silicon) via a familiar OpenAI/Anthropic-compatible HTTP API.","avoid_when":"You need strong remote security guarantees for public internet access, or you cannot tolerate dependency size/complexity associated with local ML inference stacks.","last_evaluated":"2026-03-30T13:50:43.083917+00:00","has_mcp":true,"has_api":true,"auth_methods":["No authentication for OpenAI SDK usage (api_key: not-needed)","Anthropic-style x-api-key header shown as 'not-needed'"],"has_free_tier":false,"known_gotchas":["No auth is shown for the API; agents exposed to untrusted networks should assume endpoints may be reachable and sensitive.","Streaming responses are supported; agents should handle chunked/stream formats correctly for delta content and NDJSON where applicable.","Model availability depends on locally loaded model names; incorrect model identifiers may fail without clear guidance (not documented here).","Image editing requires base64-encoded images; payloads can be large."],"error_quality":0.0}