mcp-server-ai

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).

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Ai Ml ai-ml api-gateway llm-proxy mcp grpc rest websocket sse streaming worker-pool sessions redis postgres observability kubernetes helm
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
40
/ 100
Is it safe for agents?
⚡ Reliability
25
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
35
Documentation
70
Error Messages
0
Auth Simplicity
45
Rate Limits
55

🔒 Security

TLS Enforcement
20
Auth Strength
40
Scope Granularity
40
Dep. Hygiene
30
Secret Handling
65

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.

⚡ Reliability

Uptime/SLA
20
Version Stability
30
Breaking Changes
20
Error Recovery
30
AF Security Reliability

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.

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

Interface

REST API
Yes
GraphQL
No
gRPC
Yes
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: Custom caller identity/session headers (e.g., X-User-ID, X-Session-ID) referenced in examples RBAC (described)
OAuth: No Scopes: No

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

Free tier: No
Requires CC: No

Self-hosted open-source (MIT license per repo metadata). Costs depend on your LLM provider usage and infrastructure (Redis/Postgres/observability).

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

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.

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Scores are editorial opinions as of 2026-04-04.

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