{"id":"seldonio-mlserver","name":"mlserver","homepage":"https://hub.docker.com/r/seldonio/mlserver","repo_url":"https://hub.docker.com/r/seldonio/mlserver","category":"ai-ml","subcategories":[],"tags":["ai-ml","infrastructure","devtools","model-serving","python","inference"],"what_it_does":"mlserver is a Python library/framework for serving machine learning models via a server interface (commonly aligned with the KServe/MLServer-style “MLServer” ecosystem). It provides abstractions to wrap model implementations and run them as inference endpoints.","use_cases":["Deploying ML models as inference services","Building custom model servers using Python model wrappers","Integrating Python ML code into a production-serving runtime","Serving models behind a standardized inference interface for inference routing/clients"],"not_for":["Running only offline batch inference without an HTTP serving layer","Low-latency ultra-minimal runtimes where a full model-server framework is unnecessary","Organizations requiring a managed SaaS offering (this is a library/framework)"],"best_when":"You want a Python-native model serving framework to expose inference endpoints using a consistent server abstraction, and you can run your own service infrastructure.","avoid_when":"You need a turnkey hosted API with no infrastructure management, or you require a non-Python first-class SDK/workflow out of the box.","alternatives":["KServe","TorchServe","TensorFlow Serving","Seldon Core","Triton Inference Server","FastAPI-based custom inference servers"],"af_score":32.2,"security_score":36.5,"reliability_score":32.5,"package_type":"mcp_server","discovery_source":["docker_mcp"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:38:10.499807+00:00","interface":{"has_rest_api":false,"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":"No package-level authentication details could be determined from the provided information. As a self-hosted server framework, authentication is typically handled by the surrounding deployment (reverse proxy/service mesh) unless explicitly documented in the project materials."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source/library; pricing depends on infrastructure and operational costs."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":32.2,"security_score":36.5,"reliability_score":32.5,"mcp_server_quality":0.0,"documentation_accuracy":30.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":0.0,"tls_enforcement":50.0,"auth_strength":20.0,"scope_granularity":20.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"Security posture depends heavily on your deployment configuration (TLS termination, authentication, and authorization). Library-level secret handling and transport security cannot be verified from the provided information; assume you must secure the service with HTTPS and external auth (reverse proxy/service mesh) unless project docs state otherwise.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":50.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["As a server framework (not a managed API), agent integration often depends on how you configure routing, transports, and deployment (e.g., reverse proxy) rather than a documented public endpoint.","Without explicit interface/openapi details in the provided material, agents may need to inspect the repository/docs to determine exact request/response schemas and supported transports."]}}