{"id":"seeloz-mlflow-server","name":"mlflow-server","homepage":"https://hub.docker.com/r/seeloz/mlflow-server","repo_url":"https://hub.docker.com/r/seeloz/mlflow-server","category":"ai-ml","subcategories":[],"tags":["ai-ml","mlops","experiment-tracking","mlflow","self-hosted","tracking-server"],"what_it_does":"mlflow-server refers to running MLflow’s tracking server (typically MLflow Tracking + optional artifact store integration). It provides HTTP endpoints for creating and managing experiments, runs, metrics, parameters, and artifacts.","use_cases":["Experiment tracking for ML training runs","Storing model metadata and linking artifacts to runs","Team-wide visibility into experiments (metrics/params/artifacts)","Self-hosted MLflow instance for private data/workloads"],"not_for":["Public multi-tenant deployments without additional security controls","Use cases that require built-in fine-grained RBAC beyond what MLflow’s deployment/config supports","Workloads that only need lightweight local tracking (no server needed)"],"best_when":"You need an on-prem/self-hosted MLflow tracking service and can manage its infrastructure (web server, database, artifact storage, TLS, authentication).","avoid_when":"You cannot provide secure network exposure (TLS, auth, least-privilege access to backing DB/artifact store) or you need a turnkey managed service with strong operational guarantees.","alternatives":["Managed MLflow services (if available in your ecosystem)","Weights & Biases","Google Vertex AI Experiments / ML Metadata","Custom experiment tracking with your existing data stack"],"af_score":33.5,"security_score":37.0,"reliability_score":35.0,"package_type":"mcp_server","discovery_source":["docker_mcp"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:46:39.736315+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"Auth mechanisms are not confirmed from the provided content. In typical MLflow server deployments, authentication is usually handled by an upstream reverse proxy (e.g., basic auth/OIDC) and/or by deployment-specific configuration, rather than a universally documented built-in auth standard."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Self-hosted open-source style pricing assumptions: costs come from infrastructure (DB, object storage, compute) rather than a per-request SaaS price."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":33.5,"security_score":37.0,"reliability_score":35.0,"mcp_server_quality":0.0,"documentation_accuracy":20.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":40.0,"rate_limit_clarity":20.0,"tls_enforcement":40.0,"auth_strength":30.0,"scope_granularity":20.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"Security posture depends heavily on how you deploy MLflow server (reverse proxy TLS, authentication/authorization, network controls) and on securing the backing database and artifact storage. No concrete evidence of built-in TLS enforcement, RBAC, or secret-handling practices was provided in the prompt content.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":50.0,"error_recovery":40.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Expect HTTP API semantics consistent with MLflow tracking endpoints; partial failures may occur depending on backing store state (DB/artifacts).","Idempotency is not guaranteed for run/artifact creation operations; agents should avoid blind retries without understanding endpoint behavior.","Rate limiting headers/limits are not confirmed; agents may need conservative request pacing."]}}