{"id":"proyectoskevinsvega-mcp-server-ai","name":"mcp-server-ai","homepage":null,"repo_url":"https://github.com/proyectoskevinsvega/mcp-server-ai","category":"ai-ml","subcategories":[],"tags":["ai-ml","api-gateway","llm-proxy","mcp","grpc","rest","websocket","sse","streaming","worker-pool","sessions","redis","postgres","observability","kubernetes","helm"],"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).","use_cases":["Unified chat/completion generation across multiple LLM providers (AWS Bedrock/Azure OpenAI)","Low-latency streaming responses via SSE/WebSocket","Batch prompt processing endpoints","Centralized session/context management for conversational apps","Production deployment with monitoring/metrics/tracing and autoscaling","Caching and persistence for repeated prompts/sessions"],"not_for":["Public unauthenticated use on the open internet (security options not clearly enforced by default)","Use cases requiring strict contractual SLAs for uptime/versioning without additional operational validation","Environments that require built-in third-party authentication (e.g., OAuth) rather than custom headers/RBAC"],"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.","alternatives":["Cloud-managed LLM gateways/proxies (e.g., provider-agnostic gateways)","Open-source LLM router/proxy frameworks with documented OpenAPI/SDKs","Direct usage of AWS Bedrock and Azure OpenAI APIs with app-level abstraction (less operational overhead but more work)"],"af_score":54.5,"security_score":39.5,"reliability_score":25.0,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:21:08.426727+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":true,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Custom caller identity/session headers (e.g., X-User-ID, X-Session-ID) referenced in examples","RBAC (described)"],"oauth":false,"scopes":false,"notes":"README describes RBAC and security configuration, but authentication method details (how callers are verified, how RBAC claims are supplied/validated, and any auth middleware) are not specified in the provided content. Example requests rely on headers for user/session identifiers, which may be weak unless backed by real auth in implementation."},"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 (MIT license per repo metadata). Costs depend on your LLM provider usage and infrastructure (Redis/Postgres/observability)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":54.5,"security_score":39.5,"reliability_score":25.0,"mcp_server_quality":35.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":45.0,"rate_limit_clarity":55.0,"tls_enforcement":20.0,"auth_strength":40.0,"scope_granularity":40.0,"dependency_hygiene":30.0,"secret_handling":65.0,"security_notes":"README includes TLS config flags (ENABLE_TLS=false by default), CORS settings, RBAC (described), Secrets Management integration (Vault/Sealed Secrets) (described), and Redis/Postgres examples using passwords in environment variables. However, provided content does not confirm enforcement of TLS/auth in runtime, does not specify how RBAC is enforced/validated, and does not mention how secrets are protected from logs beyond general claims. TLS default being disabled lowers practical security posture.","uptime_documented":20.0,"version_stability":30.0,"breaking_changes_history":20.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":"No idempotency/retry guidance described for generate/batch/stream requests.","pagination_style":"none","retry_guidance_documented":false,"known_agent_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."]}}