{"id":"proyectoskevinsvega-mcp-server-ai","name":"mcp-server-ai","af_score":54.5,"security_score":39.5,"reliability_score":25.0,"what_it_does":"A Go-based multi-protocol (HTTP/REST, gRPC, WebSocket, SSE) AI gateway/MCP server that unifies access to multiple LLM providers (notably AWS Bedrock and Azure OpenAI) behind a consistent API, including worker-pool parallelism, streaming, sessions, Redis/PostgreSQL persistence, and observability (Prometheus/Grafana/Jaeger).","best_when":"When you want a self-hosted, multi-provider LLM proxy with streaming, session management, and operational telemetry, and you can operate it in Kubernetes/docker with the required Redis/Postgres/observability stack.","avoid_when":"When you cannot reliably secure/operate the service (TLS termination, secrets handling, auth/RBAC enforcement) or you need guaranteed error-handling/idempotency semantics for safe retries.","last_evaluated":"2026-04-04T21:21:08.426727+00:00","has_mcp":false,"has_api":true,"auth_methods":["Custom caller identity/session headers (e.g., X-User-ID, X-Session-ID) referenced in examples","RBAC (described)"],"has_free_tier":false,"known_gotchas":["No clearly documented MCP transport details/tool list in the provided README (despite the project name containing MCP).","Auth appears header-based in examples; agents should not assume those headers provide real authorization without verifying implementation.","Streaming endpoints require correct Accept header and event-stream handling; agents may mishandle partial chunks if not implemented carefully.","Retrying non-idempotent generation requests could duplicate outputs and consume provider tokens; no idempotency keys documented."],"error_quality":0.0}