Traefik Hub vs Kong (Konnect and Gateway): API, AI, and MCP Gateway Comparison

Last reviewed: October 1, 2026

Verdict

Traefik Hub is the stronger fit for Kubernetes-centered organizations that want service auto-discovery, CRD-based GitOps, HTTP/3, native Coraza WAF, and one policy layer across API, AI, and MCP traffic. Its AI controls include model-based routing, semantic caching, cost-based spend limits, PII masking, and native guardrails for GCP Model Armor, Amazon Bedrock Guardrails, and Azure AI Content Safety, with the same guard middleware covering AI routes, non-AI API routes, and MCP tool traffic.

Kong is a strong fit if advanced LLM load balancing, a larger plugin library, or a managed SaaS Konnect control plane is ideal. Kong also offers multiple deployment topologies and established decK and Terraform workflows.

Choose Traefik Hub for Kubernetes-native, self-hosted governance across API, AI, and MCP traffic. Choose Kong for an operating model centered on Konnect and the Kong ecosystem.

Traefik Hub vs Kong Konnect at a Glance

Criterion	Traefik Hub	Kong Konnect and Kong Gateway
Service discovery	Kubernetes-native service auto-discovery and management of external APIs by URL. API Gateway also discovers Amazon EC2 instances by tag and attaches to Docker Swarm overlay networks automatically.	Kubernetes integration is available through Kong Ingress Controller and Kong Operator; routes otherwise must be explicitly configured Gateway Services.
Pricing model	Cluster-based subscription. Runs license-free as a drop-in Traefik Proxy; adding a license unlocks Hub capabilities on the same image. Pricing provided upon request.	Konnect: Hourly-metered resources on a published rate card (Plus) or a custom contract (Enterprise). Self-hosted Gateway Enterprise: Custom pricing through sales.
Configuration and developer experience	Kubernetes-native, CRD-driven, fully declarative GitOps that can operate self-hosted, offline, or air-gapped. The Administration UI submits HTTP, AI, and MCP route changes as Git pull requests.	Supports decK, Terraform, APIs, Kubernetes resources, and DB-less YAML or JSON. Centrally managed Konnect workflows use its SaaS control plane.
Protocols and routing	Documents HTTP/2, HTTP/3, TCP, UDP, gRPC, canaries, and declarative routing.	Routes can match protocols, hosts, methods, headers, ports, and SNI; the reviewed documentation does not establish HTTP/3 support.
Security and governance	Native Coraza WAF (v3.7.0, OWASP CRS v4.25.0) plus JWT, OAuth, OIDC, LDAP, API keys, per-API and keyless authentication, OPA, AuthZEN, OAuth 2.0 Token Exchange with On-Behalf-Of, distributed rate limiting, and runtime API governance. FIPS 140-3 mode, a hardened image, and tamper-evident transparency logs.	Plugin-based authentication, authorization, traffic control, and governance, with availability depending on product and subscription.
AI Gateway	Model-based and complexity-based routing, per-caller model access, USD spend caps, semantic caching, PII masking, and native guardrails for GCP Model Armor, Amazon Bedrock, and Azure AI Content Safety. Guards apply to AI routes, non-AI APIs, and MCP tool calls.	AI Proxy Advanced supports round-robin, lowest-latency, lowest-usage or cost, semantic routing, and priority failover. AI Semantic Cache reuses similar responses. AI PII Sanitizer uses an external PII service, and Kong also documents semantic guards, Lakera Guard, and Google Cloud Model Armor. AI PII Sanitizer requires AI Proxy or AI Proxy Advanced, and AI Proxy Advanced requires AI Gateway Enterprise.
MCP governance	Tool, prompt, and resource list filtering on JWT claims; policies over MCP methods, tool names, arguments, and claims; and TBAC across tasks, tools, and transactions. Supports AuthZEN, OAuth 2.0 Token Exchange, guardrails on tool calls, and MCP specification 2026-07-28.	Tool ACLs, consumer authentication, rate limiting, MCP server aggregation, REST-to-MCP mapping, an MCP Registry in Konnect Catalog (tech preview),and OpenTelemetry MCP metrics.
Scalability and maintenance	Stateless architecture designed for horizontal scaling.	Traditional, hybrid, and DB-less topologies, plus horizontal data-plane scaling through Kong Operator.
Enterprise support	Built-in commercial support and a documented progression from Traefik Proxy to paid platform capabilities.	Formal version lifecycle with one year for minor releases, three years for designated LTS releases, and optional sunset support.

What are Traefik Hub, Kong Konnect, and Kong Gateway?

Traefik Hub is a Kubernetes-native application connectivity and API management platform built on the Traefik OSS gateway foundation. It combines API lifecycle management, security, AI traffic controls, and MCP governance in one platform delivered via a single binary. API, model, and MCP traffic can share the same data plane, which lets Traefik Hub enforce policies in one gateway without separate gateway products in the path.

Kong Gateway is Kong's API gateway and policy runtime. It can run in traditional, hybrid, or DB-less topologies and provides routing, security, traffic control, AI gateway plugins, and MCP capabilities. Kong Konnect is Kong's SaaS control plane for centrally managing Kong Gateway data planes and other Kong services.

This comparison evaluates the combined Kong Konnect and Kong Gateway offering where a capability spans the control plane and data plane. It also distinguishes self-managed Kong Gateway from Konnect when deployment dependencies or feature availability differ.

Service Discovery

Traefik Hub's API Management overview documents automatic discovery of Kubernetes microservices and management of externally hosted APIs by URL. This model reduces the need to duplicate Kubernetes service state in gateway configuration.

Outside Kubernetes, Traefik Hub API Gateway discovers Amazon EC2 instances from their tags and attaches itself to Docker Swarm overlay networks automatically as new services are added.

Kong supports Kubernetes through its Ingress Controller and Operator. Kong directs requests to configured Gateway Services. Teams should compare how much explicit service modeling each architecture requires in their target environment rather than assuming Kong lacks Kubernetes support.

Pricing Model

Traefik Hub and Kong Konnect charge for different things, and that affects how costs grow.

Traefik Hub is licensed per gateway deployment, sized by its maximum replica count. Non-production deployments cost less than production ones. Moving from Traefik Proxy to API Gateway to API Management is a helm upgrade, no binary swap.

Kong Konnect bills by resource. Control planes, developer portals, and published APIs are metered by the hour and prorated each month. Konnect Plus is self-serve with a credit card, and Konnect Enterprise is a custom contract. If you want to run everything yourself, that's Kong Gateway Enterprise, which has a custom price structure. Some AI features, such as AI Proxy Advanced, need Kong's AI Gateway Enterprise license.

So with Traefik Hub, your bill grows as you add clusters. With Konnect, it grows as you add APIs, portals, control planes, and request volume. You can't compare the two with a simple formula, so get quotes from both using the same numbers for traffic, clusters, environments, API count, support, and add-ons.

Configuration and Developer Experience

Traefik Hub is a Kubernetes-native, CRD-driven, fully declarative solution suited to GitOps workflows. Its offline mode supports licensed Kubernetes deployments in restricted-connectivity and air-gapped environments.

Traefik Hub also includes an Administration UI that shows routes and resources across every gateway replica. Changes to HTTP routers, AI routes, and MCP servers made in the UI open as declarative Git pull requests instead of applying directly, and editing is turned off when no Git repository is configured. The UI works with the Kubernetes CRD, Gateway API, Ingress, and File providers.

Kong offers several valid configuration paths, including decK, Terraform, Kubernetes resources, the Admin API, and Konnect APIs. Self-managed Kong Gateway can use DB-less declarative YAML or JSON, although that topology has documented functional limitations. Konnect provides centralized declarative management through its SaaS control plane; this does not mean all Kong declarative configuration requires SaaS. See Kong's deployment topology documentation.

Protocols and Routing

Traefik Hub's documented feature set includes HTTP/2, HTTP/3, TCP, UDP, and gRPC, as well as canary deployment support. HTTP/3 is a meaningful distinction when it is an explicit requirement.

Kong’s routing covers matching by protocol, host, method, header, port, and SNI, along with an expressions router for more complex logic. Kong’s documentation does not describe HTTP/3 support for client connections.

Security and Governance

Traefik Hub documents JWT, OAuth token introspection and client credentials, OIDC, LDAP, API keys, OPA, distributed rate limiting, and a native WAF powered by Coraza. Traefik Hub API Management also supports runtime governance, OpenAPI validation, granular access control, and API grouping and versioning.

For identity and delegation, Traefik Hub’s OAuth 2.0 Token Exchange middleware swaps an incoming token for one scoped to the downstream service, including Microsoft Entra ID On-Behalf-Of. It also supports ID-JAG chaining, so one application can access another’s resources for a user without a second sign-in. AuthZEN support lets the gateway hand authorization decisions to an external policy decision point such as OpenFGA or Keycloak. API Management supports per-API and per-version authentication, plus keyless access for public APIs.

For regulated environments, Traefik Hub offers FIPS 140-3 mode using images built with the Go Cryptographic Module, a hardened image with no shell or package manager, and transparency logs that keep a tamper-evident record of logs and access logs. Kong also documents FIPS 140-3 support for Kong Gateway on several platforms

Kong applies security and traffic policies through gateway plugins. Buyers should verify the required authentication, authorization, compliance, and governance features against the relevant Kong product and subscription rather than assuming all plugins have identical availability.

AI Gateway

Both platforms run AI traffic on the same data plane as API traffic. As of October 2026, Kong documents more LLM load-balancing algorithms, while Traefik Hub documents applying the same guard middleware, including native cloud guardrails, across AI, API, and MCP traffic.

LLM Routing

Traefik Hub routes AI requests by model name using its Model() matcher. AI routes also use the gateway's full set of load-balancing algorithms, including weighted round robin, power of two choices, highest random weight, and least-time. With the NeMo Switchyard integration, it can also send each request to a cheaper or a more capable model depending on how complex the request is, and AI telemetry records the model Switchyard selected, not only the model the client requested. Model Access Policies decide which models each caller can reach based on JWT claims, and which models a client sees when it lists them.

Traefik Hub’s AI Gateway failover switches providers when the primary returns a configured error, such as a 429 rate limit, or fails a health check. Each provider in the chain rewrites the model name, swaps the API key, and records its own GenAI metrics.

Traefik Hub serves OpenAI-compatible, Responses API, and Anthropic Messages API traffic. It also reaches Claude models through Amazon Bedrock and Google Agent Platform with native cloud authentication, which helps teams govern Claude Code and other coding agents.

Kong's AI Proxy Advanced documents similar strategies. It also adds routing by token usage or cost and semantic routing by prompt-to-model similarity. AI Proxy Advanced requires Kong's AI Gateway Enterprise offering.

Cost Controls

Traefik Hub’s Token Rate Limit & Quota middleware limits input, output, or total tokens per caller, keyed by IP, header, or JWT claim. It can also cap spend in US dollars, with each model priced automatically.

Kong’s AI Rate Limiting Advanced plugin also supports cost-based limits, using per-model input and output prices that operators define. Kong’s model cost management adds pricing for cache reads and writes, long-context requests, and service tiers.

Semantic Caching

Both platforms cache LLM responses by semantic similarity. Traefik Hub's Semantic Cache supports Redis Stack, Weaviate, or Milvus as the vector database. It’s cache also covers Responses API traffic, and token usage monitoring reports how many input and output tokens each cache hit saved.

Kong's AI Semantic Cache supports Redis, Valkey, and PostgreSQL with pgvector to retrieve semantically similar cached responses and requires AI Gateway Enterprise.

PII and Guardrails

Both platforms can use an external service for PII detection. Traefik Hub’s Content Guard supports Microsoft Presidio for named-entity detection and an in-process regex engine. Kong’s AI PII Sanitizer can use placeholders or synthetic values and can restore original request data in responses.

Both also connect to cloud guardrail services. Traefik Hub ships native middlewares for GCP Model Armor, Amazon Bedrock Guardrails, Azure AI Content Safety, and Azure Prompt Shield, each supporting every client request format, including MCP. Kong offers plugins for AWS Guardrails, Azure AI Content Safety, and Google Cloud Model Armor, plus Lakera Guard and semantic prompt and response guards.

One Policy Layer

Traefik Hub’s guard middlewares, including Content Guard and the native cloud guardrails, can attach to any route, including non-AI API traffic. When guards follow the MCP middleware, they inspect tool-call arguments and results before they reach the MCP server or the client, over both JSON and streaming transports. This has been generally available since v3.21.0.

Kong documents its AI PII Sanitizer, AI AWS Guardrails, and AI Azure Content Safety plugins alongside AI Proxy or AI Proxy Advanced, which means they apply to LLM routes. Kong does not document them for non-AI API routes or MCP tool calls.

Choose Traefik Hub when one guard policy needs to span API, AI, and MCP traffic. Choose Kong when token-usage balancing across model targets, semantic routing, and a large catalog of third-party guardrail plugins are higher priorities.

Observability

Both platforms export AI telemetry through OpenTelemetry. Traefik Hub’s AI Gateway observability follows the GenAI semantic conventions, with token usage for streamed and buffered responses, time to first token, and request duration. Content Guard reports blocks by reason, and AI traces can carry API Management application and user IDs, so teams can attribute AI usage to a specific app or consumer. Kong documents Gen AI metrics including token consumption, time to first token, and request cost.

MCP Governance

Traefik Hub's MCP Gateway acts as an OAuth resource server and integrates with JWT. It enforces policies at runtime and filters tool, prompt, and resource lists. It also applies Tool, Task, and Transaction-Based Access Control (TBAC), which authorizes each request based on the tool being called, the task the agent is performing, and the parameters of the transaction, such as an amount checked against a limit in the caller's JWT. Policies can evaluate MCP methods, tool names, request arguments, and JWT claims. MCP routes can also use Traefik Hub's distributed rate limiting, and MCP metrics, traces, and logs are exported through OpenTelemetry.

Traefik Hub can also hand MCP authorization decisions to an external policy engine through AuthZEN, exchange an agent’s token for a downstream-scoped one through OAuth 2.0 Token Exchange, and apply guardrails to tool calls. Transparency logs keep a tamper-evident record of gateway logs and access logs. Traefik Hub v3.21 supports MCP specification 2026-07-28.

Kong's MCP Traffic Gateway supports MCP server aggregation, AI-consumer authentication, tool ACLs, rate limiting, detailed logging, and mapping REST endpoints into MCP tools. Its tool ACLs allow or deny tools by consumer or consumer group. Kong also exports OpenTelemetry MCP metrics.

The defensible distinction is not that Kong lacks MCP governance. It's that Kong's access model is identity-based, while Traefik Hub's TBAC also evaluates the task and transaction context of each call, and filters prompt and resource lists as well as tools.

Scalability and Maintenance

Traefik Hub uses a stateless architecture intended for horizontal scaling and graceful configuration updates. Its unified API, AI, and MCP policy model can reduce the number of separately operated gateway layers and policies when teams need all three traffic boundaries.

Online Traefik Hub gateways keep serving traffic if the Traefik Hub platform becomes unreachable and reconnect in the background. Gateways with API Management enabled still need to reach the platform when they start, and offline mode removes the platform dependency entirely.

Kong provides traditional, hybrid, and DB-less deployment topologies. Hybrid data planes retain their last valid configuration if the control plane becomes unavailable, DB-less operation removes the runtime database dependency, and Kong Operator can horizontally scale data planes. Each topology has different dependencies and limitations, so operational complexity should be evaluated against the chosen design rather than generalized across Kong.

Enterprise Support

Traefik Hub offers built-in commercial support and an upgrade path from Traefik Proxy (or Traefik Hub in Proxy Mode) to Traefik Hub with API gateway, AI and MCP gateway, and API management capabilities. Teams already using Traefik Proxy benefit from retaining familiar routing concepts and declarative resources.

Kong has a formal version support policy. Minor releases receive one year of support, designated LTS releases receive three years, and sunset support can add another year of upgrade assistance without patches. Support scope and response commitments should be confirmed in each vendor's current proposal.

Which Should You Choose, Traefik Hub or Kong?

Choose Traefik Hub When …

Choose Traefik Hub when your priorities include:

Automatic discovery and Kubernetes-native, CRD-based GitOps, with UI changes submitted as Git pull requests.
Self-hosted, offline, or air-gapped API management, including portal self-service.
Explicitly documented HTTP/3 support.
A native Coraza WAF and gateway-level runtime governance.
Token exchange, On-Behalf-Of, and AuthZEN for delegating identity and authorization.
Task-, tool-, and transaction-aware MCP authorization.
Claim-based filtering of MCP tool, prompt, and resource lists.
One guard middleware model, including native cloud guardrails, for AI routes, non-AI APIs, and MCP tool traffic.
Cost-based spend limits for LLM traffic.
FIPS 140-3 mode, a hardened image, and tamper-evident transparency logs.
OpenTelemetry metrics, traces, and logs.

Choose Kong When …

Choose Kong when your priorities include:

A managed SaaS control plane through Konnect.
decK or Terraform workflows already established across the organization.
Complex route matching or a requirement for Kong's larger plugin library.
REST-to-MCP mapping, MCP tool ACLs, and Kong's documented MCP metrics.
Token-usage or cost-weighted load balancing and semantic routing across model targets, plus Lakera Guard and semantic prompt guards.
A formal LTS and version-support lifecycle aligned with existing upgrade practices.

Migration Considerations

Moving from Kong to Traefik Hub mostly means translating Kong objects into Kubernetes resources that live in Git, instead of decK files or Admin API calls.

Kong	Traefik Hub
Service	Kubernetes Service, or an ExternalName Service for external APIs
Route	IngressRoute or Gateway API HTTPRoute
Upstream and targets	Kubernetes Service with Traefik load balancing
Plugin	Middleware
MCP tool ACLs	TBAC policies in the MCP middleware or AuthZEN MCP

Start by listing what you run today: routes, plugins, identity integrations, certificates, rate limits, and observability exports. Custom plugins and identity flows usually take the most work, because they rarely map one-to-one. Features with similar names can still behave differently, so test auth, rate limits, and failover with real traffic before switching over.

You don't have to move everything at once. Kong and Traefik Hub can run side by side, so you can migrate routes in batches and keep Kong serving the rest until you're ready.

Methodology

This comparison reflects first-party vendor documentation as of [Month DD], 2026. Traefik Hub capabilities were checked against doc.traefik.io/traefik-hub for Traefik Hub v3.21.6, released September 30, 2026. Kong capabilities were checked against developer.konghq.com for Kong Gateway 3.16, released September 15, 2026, including Kong AI Gateway and Konnect documentation where noted.

Each capability claim links to the vendor page that supports it. When a vendor's documentation does not describe a capability, the comparison marks it "Not documented" rather than stating the capability is absent. Documentation can lag behind product releases, so a "Not documented" entry is a prompt to confirm with the vendor, not proof of a gap.

Where Kong documentation distinguishes between Konnect and self-managed Kong Gateway, the comparison states which one applies. For both vendors, feature availability can depend on edition, license tier, add-ons, and deployment topology.

The comparison excludes pricing estimates, third-party benchmarks, and analyst rankings. The documentation reviewed does not include a like-for-like pricing formula or a controlled performance benchmark for these two products. Buyers should request current quotes and test both products with representative traffic.

Traefik Labs publishes this comparison. Claims about both products are held to the same standard: a statement appears only if first-party documentation supports it. This page is reviewed after major releases of either product. Send corrections to [email protected]

Frequently asked questions

How Does Traefik Hub Compare with Kong for GitOps?

Traefik Hub provides a Kubernetes-native, CRD-driven model that can remain self-hosted, offline, or air-gapped. Traefik’s infrastructure-as-code approach enables end-to-end GitOps-driven operations. Kong supports GitOps workflows through decK, Terraform, Kubernetes resources, and DB-less declarative YAML or JSON, and decK and Terraform can both manage Konnect as code. Centrally managed Konnect workflows still depend on Kong’s SaaS control plane. Self-managed DB-less Kong Gateway removes that dependency, but Kong documents a read-only Admin API and reduced functionality for plugins that require database storage.

Which Platform Supports Offline or Air-Gapped API Management?

Traefik Hub API Management can run offline or air-gapped on Kubernetes, configured through CRDs. Portal users can still create applications, subscribe to APIs, and manage API keys through Offline Self-Service, which is generally available and runs on a self-hosted Traefik Hub Manager backed by PostgreSQL. Self-managed Kong Gateway can avoid a Konnect dependency in DB-less mode, but that topology has documented functional limits and does not provide the same centrally managed Konnect operating model.

How do Traefik Hub and Kong Govern MCP Traffic?

Traefik Hub supports policies over MCP methods, tool names, request arguments, and JWT claims, including TBAC across tasks, tools, and transactions. It also supports AuthZEN, OAuth 2.0 Token Exchange, guardrails on tool calls, rate limiting, OpenTelemetry metrics, traces, and logs, and tamper-evident agent evidence logs. Kong supports authentication, tool ACLs, rate limiting, server aggregation, REST-to-MCP mapping, logs, and OpenTelemetry metrics. Traefik Hub’s distinction is prompt- and resource-list filtering, tool-list filtering on JWT claims, and TBAC that evaluates the task and transaction context of each call, not only the caller’s identity.

Does Traefik Hub Have an AI gateway like Kong AI Gateway?

Yes. Traefik Hub includes AI gateway middleware for model-based routing, semantic caching, PII masking, content checks, and token rate limiting. The same PII and content guards can be applied to standard API routes and MCP tool calls, not just LLM traffic. Kong documents more LLM load-balancing algorithms and packaged third-party guardrail integrations.

Does Traefik Hub Support On-Behalf-Of Token Exchange for AI agents?

Yes. Traefik Hub’s OAuth 2.0 Token Exchange middleware implements RFC 8693 and Microsoft Entra ID On-Behalf-Of, exchanging an incoming token for one scoped to the downstream service. It also supports ID-JAG chaining, which lets one application access another’s resources for a user without a second sign-in. Exchanged tokens can be cached in Redis.

Can Traefik Hub Replace Kong?

Yes, but migration requires mapping Kong Routes, Services, Consumers, and plugins to Traefik Hub routes, middleware, and policies. Custom plugins, identity flows, and operational procedures need individual validation.

Is Traefik Hub Faster Than Kong?

The reviewed first-party documentation does not provide a controlled, comparable benchmark that establishes a universal winner. Test both products with your routes, policies, payloads, observability settings, topology, and expected concurrency.

Which Platform Supports HTTP/3?

Traefik Hub explicitly documents HTTP/3 support. Kong’s documentation does not describe HTTP/3 support for client connections.

Can Traefik Hub Run Without a License?

Yes. In Proxy Mode, Traefik Hub runs as a drop-in Traefik Proxy with no commercial features enabled. Adding a license token and restarting unlocks Hub features without changing the image.

Can Traefik Hub and Kong Run together?

Yes. They can coexist during migration or serve different boundaries, but overlapping routing and policy layers add operational work and may add network hops. Confirm that the combined design solves a specific requirement.