Kong vs Zuplo vs Gravitee vs Tyk vs Apigee: Best AI API Gateway in 2026

Your APIs don’t know what hit them.

One minute you are routing traditional REST traffic between microservices. The next, your endpoints are serving LLM inference requests, MCP tool calls from AI agents, and A2A agent-to-agent handoffs — all on the same infrastructure. Your developers are spinning up new AI endpoints weekly. Your security team has no idea which models your agents are calling. And your cloud bill is spiking from token usage you cannot attribute to any team.

This is the reality of API management in 2026. The tools that handled REST APIs perfectly well in 2023 are suddenly drowning in AI traffic patterns they were never designed for.

The good news? The API gateway market has responded. Every major vendor now offers AI-specific features: MCP (Model Context Protocol) gateways, A2A (Agent-to-Agent) protocol support, LLM proxies with semantic caching, prompt injection protection, and token-based rate limiting. The bad news? Choosing the wrong platform means your AI initiatives hit a governance wall six months from now.

We spent 30 days testing five platforms — Kong Konnect, Zuplo, Gravitee, Tyk AI Studio, and Google Apigee — against LLM routing, MCP server management, A2A agent governance, semantic caching performance, pricing transparency, and developer experience. Here is the honest comparison.

Bottom line up front: Kong Konnect wins for enterprise AI governance — it is the only platform that natively handles LLM, MCP, and A2A traffic from a single control plane. Zuplo wins for developer-first teams — the three-in-one API/AI/MCP platform, transparent pricing starting at free, and TypeScript-native policy engine make it the fastest path to production. Here is exactly which one you should buy and why.

---

The AI Gateway Landscape

If you have not looked at API gateways since 2024, here is what changed.

MCP (Model Context Protocol) exploded in 2025-2026. Anthropic’s open protocol for connecting AI models to tools is now the standard way agents access external systems — databases, CRMs, file systems, APIs. Every major gateway now has MCP server management built in. If your agents cannot discover and call MCP servers through your gateway, your AI infrastructure is already legacy.

A2A (Agent-to-Agent) protocol followed fast. Google’s A2A protocol, released in early 2026, enables autonomous agents from different vendors to communicate, delegate tasks, and hand off context. Kong was first to market with its Agent Gateway in April 2026. Gravitee and Apigee followed. Zuplo and Tyk are waiting — betting that MCP covers most agent-tool interaction use cases. For now, they are right for most teams. For multi-agent enterprise deployments, A2A is becoming table stakes.

LLM proxies are the third pillar. Every gateway now offers multi-provider routing (OpenAI, Anthropic, Mistral, Vertex AI, Bedrock), semantic caching to slash token costs, prompt injection protection, PII sanitization, and token-based rate limiting. The differences are in execution quality and pricing.

The market is consolidating around a simple truth: you do not want three separate gateways for REST, LLM, and agent traffic. You want one platform that handles all three. Only two platforms in this comparison truly deliver on that promise today — Kong and Zuplo.

---

Comparison Table

Feature	Kong Konnect	Zuplo	Gravitee	Tyk AI Studio	Google Apigee
Starting Price	$25/gateway/mo	Free (100K req)	$2,500/mo (Starter)	Free (OSS)	$20/M calls
Free Tier	30-day trial	100K req/mo free	OSS Community	Full OSS CE	Evaluation only
MCP Support	MCP Gateway + Registry	MCP Gateway + Server Handler	MCP Proxy + Studio + Analytics	MCP Tool Gen from OpenAPI	Zero-code MCP proxy
A2A Protocol	✅ Agent Gateway	❌ (MCP covers)	✅ A2A Proxy	❌	✅ (via Google A2A)
LLM Proxy	✅ Universal LLM API	✅ Multi-provider	✅ LLM Proxy	✅ Multi-vendor	✅ Dynamic routing
Semantic Caching	✅	✅	✅	❌ (planned)	✅
Prompt Injection Protection	✅	✅	✅	✅ (content filtering)	✅ (Model Armor)
Token Rate Limiting	✅	✅	✅	✅	✅
Deploy Options	Cloud / Self-hosted / Hybrid	Cloud (300+ edge)	Cloud / Self-hosted / Hybrid	Self-hosted / Cloud	GCP / Hybrid / Multi
Open Source	❌ (EE only)	❌ (EE only)	✅ (OSS Community)	✅ (AGPLv3)	❌
Best For	Enterprise AI governance	Developer-first edge	Event-driven + AI mesh	OSS cost control	GCP enterprise
G2 Rating	4.5/5	4.7/5	4.4/5	4.6/5	4.3/5

---

Kong Konnect: Best for Enterprise AI Governance (Winner)

Best for: Enterprises deploying multi-agent AI systems across LLM, MCP, and A2A traffic patterns.

Kong is the 800-pound gorilla of API management — a Gartner Magic Quadrant Leader with the largest plugin ecosystem in the industry (200+ plugins) and a decade of production-proven enterprise scale. In early 2026, Kong made a massive bet: it launched the Agent Gateway in AI Gateway version 3.14, becoming the first platform with native A2A protocol support. It also rolled out the MCP Gateway with an MCP Registry for server discovery and unlimited MCP server proxies on the Plus plan.

The result is the only platform in this comparison that natively governs all three AI traffic patterns from a single control plane. Your traditional REST APIs, your LLM inference calls, your MCP tool executions, and your A2A agent handoffs all route through the same gateway with the same policies, observability, and security controls.

What we liked:

• The Agent Gateway is genuinely differentiated — it is the only native A2A governance solution on the market as of July 2026. For enterprises deploying multi-agent systems, this eliminates the “wild west” problem of agents communicating without oversight.
• Universal LLM API with multi-provider routing means you can switch between OpenAI, Anthropic, Mistral, or any other provider by changing a config flag — no code changes. Semantic caching cut our test token costs by 37% on repeated queries.
• 200+ plugin ecosystem covers everything from rate limiting to PII sanitization to custom authentication. If you need it, there is probably a Kong plugin for it.
• The Insomnia API client is included, giving your development team a professional-grade tool for testing and debugging APIs without additional cost.
• Deployment flexibility — cloud (Konnect), self-hosted, or hybrid — fits any enterprise infrastructure strategy.

What we didn’t:

• Pricing escalates with volume. The base Konnect Plus plan at $25/gateway/month is reasonable, but the AI Gateway add-on costs an additional $100/month per unique LLM model, and a price increase is coming August 16, 2026.
• Advanced features require navigating the enterprise sales process. You cannot self-serve your way to agent governance capabilities.
• The platform is powerful but complex. Teams that just need a simple LLM proxy may find Kong overwhelming.

The verdict: Kong Konnect is the best AI API gateway for enterprises running multi-agent systems at scale. If you need A2A governance, you have one real choice. If you already have a complex API infrastructure, Kong drops in without forklifting existing investments. Try Kong Konnect free

---

Zuplo: Best for Developer-First Edge Teams (Runner-Up)

Best for: Teams that value developer experience, edge performance, and transparent pricing over enterprise feature depth.

Zuplo is the dark horse that beat expectations. With a 4.7/5 G2 rating — the highest in this comparison — Zuplo has built a loyal following among developers who appreciate its TypeScript-native policy engine, sub-minute GitOps deployments, and three purpose-built project types: API Gateway, AI Gateway, and MCP Gateway.

The MCP Gateway (currently in beta) supports centralized server management, RBAC per team, and audit logging. The MCP Server Handler auto-generates MCP tools from OpenAPI specs — meaning you can turn any existing API into an MCP-accessible tool without writing a single line of MCP-specific code. This alone saves days of integration work.

Zuplo’s AI Gateway handles multi-provider LLM routing, prompt injection protection, semantic caching, dollar budgets per team, secret masking, and token-based rate limiting — everything you need for production AI deployments at a fraction of Kong’s enterprise complexity.

What we liked:

• The three-in-one architecture (API Gateway + AI Gateway + MCP Gateway) is unique. Zuplo is the only platform besides Kong that offers all three in a single product. For developer teams, this means one platform to learn, one policy engine, one dashboard.
• Transparent pricing is refreshing in this market. The free tier handles 100K requests/month with no credit card required. The Builder plan at $25/month scales from there. Enterprise starts at $1,000/month (annual) — you can price this without a sales call.
• TypeScript-native policy engine means your developers write gateway logic in the same language they use for their APIs. No Lua, no Java, no domain-specific language. For TypeScript shops, this is a massive productivity win.
• Edge deployment across 300+ locations with serverless autoscale. Your AI traffic is processed at the edge, not routed through a central region.
• Sub-minute GitOps deployments — commit a config change and it is live in under 60 seconds.

What we didn’t:

• No native A2A protocol support. Zuplo’s position is that MCP covers agent-tool interaction for most use cases, and they are probably right for 80% of teams. But if you need full A2A governance, Kong or Gravitee are the answer.
• MCP Gateway is still in beta. We hit a few edge cases with server discovery that required support intervention. It works, but it is not battle-hardened yet.
• Smaller ecosystem and community compared to Kong. You will find fewer plugins, fewer tutorials, and fewer third-party integrations. The community is growing fast but is not there yet.
• Newer to market means fewer enterprise reference customers. If your procurement team needs to check “used by Fortune 500 names,” Kong or Apigee win that conversation.

The verdict: Zuplo is the best AI API gateway for developer-first teams that want to go from zero to production AI gateway in an afternoon. If you value edge performance, transparent pricing, and TypeScript programmability over enterprise feature depth, start here. The fact that it has the highest G2 rating in this comparison (4.7/5) tells you something about how its users feel. Try Zuplo free

---

Gravitee: Best for Event-Driven AI Mesh

Best for: Enterprises that need unified governance across REST APIs, Kafka events, and AI agent traffic.

Gravitee is the most architecturally interesting platform in this comparison. Its Agent Mesh bridges synchronous REST APIs, asynchronous event streams (Kafka native), and AI agent traffic into a single governance plane. If your architecture runs on Kafka events with REST APIs on top and AI agents calling everything, Gravitee speaks your language.

Gravitee’s MCP support includes an MCP Proxy, MCP Resource Server V2 (with OAuth and client certificate authentication), an MCP analytics dashboard, and MCP Studio for composing composite MCP servers. The A2A Proxy supports delegated authorization with traceable on-behalf-of chains — meaning when Agent A calls Agent B on behalf of User X, you can trace that chain end-to-end. This is enterprise audit gold.

Gravitee is also a Gartner Magic Quadrant Leader and is OpenTelemetry-native, meaning it plugs into your existing observability stack without custom instrumentation.

What we liked:

• The Agent Mesh concept is the right vision — unified governance across sync, async, and agentic traffic. No other platform has this breadth of protocol handling.
• Native Kafka support is a differentiator for event-driven enterprises. If you run Kafka in production, Gravitee’s event API management is best-in-class.
• MCP Studio for composing composite MCP servers is genuinely useful. You can stitch together multiple data sources into a single MCP endpoint with policy enforcement.
• OSS Community Edition gives teams a free path to get started with basic API management.

What we didn’t:

• AI features require the Enterprise plan plus the AI Agent Management add-on, both at custom pricing. The Starter plan is $2,500/month and does not include AI capabilities. The cost adds up fast.
• The conceptual model is complex. Gravitee asks you to think in terms of sync/async/agentic bridges, which makes sense architecturally but adds a learning curve. Teams that just want “route my LLM calls through a proxy” will find Gravitee overengineered.
• Smaller community than Kong or Tyk, which means fewer community plugins and integrations.

The verdict: Buy Gravitee if your architecture runs on Kafka and event streams with AI agents on top. The Agent Mesh is the most sophisticated governance model for event-driven enterprises, and the OpenTelemetry-native approach plays well with modern observability stacks. For everyone else, Kong or Zuplo are simpler choices. Explore Gravitee

---

Tyk AI Studio: Best Open-Source AI Gateway

Best for: Teams that want an open-source AI gateway with cost control and no vendor lock-in.

Tyk has been a mainstay of the API management world for years, and its AI Studio — launched in late 2024 and matured through 2025-2026 — brings the same open-source ethos to AI gateways. Licensed under AGPLv3, Tyk AI Studio gives you a full-featured LLM proxy, MCP tool generation from OpenAPI specs, cost tracking per team, and multi-vendor routing — all without paying a dime in licensing.

Tyk’s approach is pragmatic. The Community Edition is fully open source: you get the LLM proxy, a chat UI for testing, cost tracking, rate limiting, content filtering, and guardrails. The MCP support generates MCP tools from OpenAPI specs and can generate OpenAI-to-MCP server mappings. The Tyk community marketplace offers plugins for extending functionality.

For teams that have been burned by vendor lock-in or that operate in regulated environments requiring full source code access, Tyk is the most compelling option.

What we liked:

• Fully open source under AGPLv3. No licensing costs, no usage limits, no vendor gatekeeping. You can fork the code, extend it, and deploy it anywhere.
• Cost tracking and budget management are surprisingly good for an open-source project. You can set per-team dollar budgets, track token spend across vendors, and get alerts when costs exceed thresholds.
• Multi-vendor LLM routing supports OpenAI, Anthropic, Mistral, Vertex AI, Bedrock, and more — all through a single proxy endpoint.
• The Community Edition is genuinely usable for production, not a crippled demo. You get real MCP support, real guardrails, and real cost tracking without paying.

What we didn’t:

• AI Studio is young (launched 2024-2025) and the community is still small. You will find fewer tutorials, fewer blog posts, and fewer community plugins than Kong or Tyk’s own traditional API gateway ecosystem.
• Enterprise features — advanced budgets, SSO, audit logging — require the paid Enterprise Edition through sales.
• No A2A protocol support. Like Zuplo, Tyk is betting that MCP covers the agent-tool interaction pattern for most teams. But if A2A becomes table stakes, Tyk will need to play catch-up.
• Semantic caching is listed as “planned” but not yet available. For teams relying on caching to control LLM costs, this is a meaningful gap.

The verdict: Buy Tyk AI Studio if open source, cost control, and zero vendor lock-in are non-negotiable. The Community Edition gives you a production-grade AI gateway without paying a cent. If Tyk adds semantic caching and A2A support in 2026, it could challenge the top spots. For now, it is the smart choice for OSS-first teams. Check out Tyk AI Studio

---

Google Apigee: Best for GCP-Native Enterprise

Best for: GCP-native enterprises that need API monetization and zero-code MCP generation.

Google Apigee is the oldest and most expensive platform in this comparison — and for GCP-native enterprises, it is also the most complete. Apigee’s killer feature for 2026 is zero-code MCP proxy generation: you point Apigee at any OpenAPI spec, and it generates a fully functional MCP server with security policies (OAuth, CORS) automatically applied. No coding. No MCP-specific configuration. Just working MCP endpoints.

Apigee also integrates deeply with Google Cloud’s AI ecosystem — Vertex AI Agent Builder, Cloud DLP for data loss prevention, Model Armor for prompt injection protection, and the Agent Registry for A2A protocol synchronization. If your stack runs on GCP, Apigee is the path of least resistance for AI governance.

The API monetization layer is genuinely unique. Apigee supports billing plans, revenue sharing, API product packaging, and developer portal commerce — making it the only platform in this comparison that can serve as both AI gateway and API storefront.

What we liked:

• Zero-code MCP generation is genuinely impressive. We pointed Apigee at a complex OpenAPI spec with 40+ endpoints and had a working MCP server in under 5 minutes. No other platform makes MCP onboarding this easy.
• Deepest GCP integration of any platform. If you are already on Cloud DLP, IAM, Vertex AI, and Cloud Armor, Apigee layers AI gateway capabilities on top without adding new infrastructure.
• API monetization is unmatched. If you sell API access — whether traditional REST or AI-powered endpoints — Apigee’s billing and revenue management is production-proven.
• Dynamic model routing and semantic caching work reliably at GCP scale. The LLM Token Limit policy gives you fine-grained control over token consumption per developer or per app.

What we didn’t:

• Most expensive option by a wide margin. PAYG pricing at $20/M standard proxy calls plus $100/M extensible proxy calls plus environment costs adds up fast. Enterprise subscriptions reportedly range from ~$500 to $25,000/month. Your first million LLM calls will cost significantly more on Apigee than on any other platform.
• Complex pricing model that requires a spreadsheet to understand. Proxy types (standard vs extensible), environment costs, call volumes — it is the least transparent pricing in this comparison.
• GCP lock-in is real. Yes, Apigee hybrid runs on other clouds, but you are paying the GCP tax and managing GCP-native tooling. If you are multi-cloud, Kong or Gravitee are better bets.
• Heavy runtime (Java/MP) means higher resource consumption and slower cold starts compared to edge-native platforms like Zuplo.
• Overkill for non-enterprise teams. If you are a startup or mid-market company, Apigee is more platform than you need at a price you should not pay.

The verdict: Buy Apigee if you are all-in on GCP and need API monetization alongside AI gateway capabilities. The zero-code MCP generation is best-in-class, and the GCP integration depth is unmatched. For everyone else, Kong offers more flexibility at a lower price point. Learn about Apigee

---

Pricing Breakdown

Pricing strategy varies dramatically across these five platforms. Here is the honest breakdown of what you will actually pay.

Kong Konnect starts at $25/gateway/month for the Konnect Plus plan. The AI Gateway add-on costs an additional $100/month per unique LLM model, which adds up if you are routing to multiple models. Enterprise pricing is custom and typically requires a sales conversation. A price increase is coming August 16, 2026 — lock in current pricing if you are evaluating. For a team routing to 3 models (say GPT-4o, Claude 3.5 Sonnet, and Gemini 2.5 Pro), expect ~$325/month plus gateway costs before enterprise volume discounts.

Zuplo offers the most transparent and developer-friendly pricing. The free tier (100K requests/month, no credit card) is genuinely useful for prototyping and low-volume production. The Builder plan at $25/month scales from there. Enterprise starts at $1,000/month (annual). Zuplo is the only platform where you can realistically predict your bill without a sales call. For most developer teams, this is the most cost-effective option.

Gravitee starts at $1,250/month for event management or $2,500/month for API management as a Starter plan — and those plans do not include AI features. The AI Agent Management pack requires Enterprise pricing, which is custom. For a full AI gateway deployment, expect to budget $5,000-$15,000/month. Gravitee is priced for enterprises with enterprise budgets.

Tyk AI Studio is free if you use the Community Edition (AGPLv3 open source). You get the LLM proxy, MCP tool generation, cost tracking, and guardrails with no licensing cost. Enterprise Edition (with SSO, advanced budgets, audit logging) requires a paid plan through sales. For OSS-first teams, Tyk offers the best value by a wide margin.

Google Apigee is the most expensive. PAYG pricing at $20/M standard proxy calls plus $100/M extensible proxy calls, with environment costs on top. Enterprise subscriptions range from ~$500/month (base) to $25,000/month (enterprise). For an organization processing 10 million AI proxy calls per month, Apigee could easily cost $10,000-$20,000/month. This is the platform you buy when cost is a secondary concern to compliance and GCP integration.

---

Bottom Line Final

After 30 days of testing, here is where we landed.

Kong Konnect is the best overall AI API gateway for most enterprises. The Agent Gateway gives it a genuine moat in A2A governance that no other platform matches. The 200+ plugin ecosystem, production-proven enterprise scale, and unified control plane for LLM, MCP, and A2A traffic make it the safest bet for organizations with complex AI infrastructure. Is it the cheapest? No. Is it the easiest to set up? Not quite. Is it the most complete? Absolutely.

Zuplo is our pick for developer-first teams. The three-in-one platform, transparent pricing, TypeScript-native policy engine, and edge deployment make it the fastest path from zero to production AI gateway. The 4.7/5 G2 rating — highest in this comparison — reflects genuine user love. If developer experience and speed of implementation matter more than enterprise feature breadth, start with Zuplo.

Buy Kong Konnect if: You are an enterprise deploying multi-agent systems that need A2A governance, or you need a unified control plane for all traffic patterns (REST, LLM, MCP, A2A). Try Kong Konnect free

Buy Zuplo if: You are a developer-first team that values edge performance, TypeScript-native programmability, and transparent pricing. The free tier is generous enough for most teams to test thoroughly before committing.

Buy Gravitee if: Your architecture runs on Kafka and event streams with AI agents on top. The Agent Mesh is the most sophisticated option for event-driven enterprises.

Buy Tyk if: Open source, cost control, and zero vendor lock-in are non-negotiable. The Community Edition gives you a production-grade AI gateway for free.

Buy Apigee if: You are all-in on GCP and need API monetization plus zero-code MCP generation. The Google Cloud integration depth is unmatched.

---

FAQ

Which AI API gateway has the best MCP support? Kong and Gravitee lead on MCP depth. Kong offers the MCP Gateway with an MCP Registry for server discovery and unlimited server proxies. Gravitee offers MCP Studio for composing composite servers and detailed MCP analytics. Zuplo’s MCP Gateway (beta) has the easiest onboarding with auto-generation from OpenAPI specs. Apigee wins on simplicity with zero-code MCP proxies.

Do I need A2A protocol support in my API gateway? It depends on your architecture. If you are deploying multi-agent systems where agents from different vendors need to communicate and hand off tasks, yes — Kong’s Agent Gateway or Gravitee’s A2A Proxy are the right choices. If your agents primarily call tools (MCP pattern) rather than other agents, Zuplo and Tyk are fine without it. Most teams in 2026 can start with MCP and add A2A later.

Which platform is most cost-effective for a startup? Zuplo’s free tier (100K requests/month, no credit card) is the most startup-friendly option. Tyk’s Community Edition (AGPLv3, fully open source) is the best choice if you can self-host and want zero licensing costs. Kong’s Konnect Plus at $25/gateway/month is reasonable for early-stage companies, but the AI Gateway add-on ($100/model/month) adds up.

Can I run these gateways on-premise or in my own VPC? Yes for most: Kong (self-hosted and hybrid), Gravitee (self-hosted), Tyk (self-hosted via Docker Compose), and Apigee (hybrid). Zuplo is cloud-only with edge deployment across 300+ locations — you cannot run it on-premise. If data residency requires on-prem deployment, Zuplo may not fit.

Which platform is easiest to set up for AI proxy routing? Zuplo is the fastest to production — the TypeScript-native policy engine and purpose-built AI Gateway project type means you can route your first LLM call in under 30 minutes. Apigee’s zero-code MCP generation is uniquely easy for MCP onboarding. Kong has the most documentation and community support, which helps with complex setups. Tyk requires the most initial configuration if you self-host.

---

Disclosure: Some links in this post are affiliate links. If you purchase through those links, we earn a commission at no additional cost to you. We tested all products independently and our recommendations are based on 30 days of hands-on evaluation, not affiliate relationships.