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Kong AI Gateway vs n8n
Kong AI Gateway
Gateway that governs LLM, MCP, and agent-to-agent traffic
n8n
Platform for AI agents and workflows you can see and control, built visually or with code
Short answer
Kong AI Gateway is a gateway for LLM, MCP, and A2A traffic; n8n says it is for building AI agents and workflows, on n8n Cloud or self-hosted.Source 1, Source 2, Source 3, Source 4 Kong proxies to agents registered as upstream URLs and says it doesn’t change how agents are built; n8n’s Agents feature, in preview, keeps agents in projects alongside workflows.Source 5, Source 6, Source 7
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
Kong AI Gateway
- Build agents: Not publicly documented
- Host and run agents: Not publicly documented
- Agents across organizations: Not publicly documented
n8n
- Identity and access: Not publicly documented
- Agents across organizations: Not publicly documented
At a glance
What each one is
The differences that matter
Building and running agents
Agent inventory
Kong AI GatewayEach AI Agent entity is scoped to one gateway instance; Konnect Catalog’s organization-wide agent inventory is in beta and not for production.Source 2, Source 5, Source 12
n8nAgents, in preview, live in n8n projects alongside workflows; the Agents exposed page lists each one enabled for MCP clients, with its project or folder.Source 7, Source 24
Konnect Catalog’s agent inventory (beta) represents an organization’s agents wherever they run; today they are added by pasting an A2A card.Source 12 Listing agents built outside n8n is not publicly documented.
Policy controls
Kong AI GatewayAI Policies on an agent can add request transformation, input validation, request logging, and per-agent or per-consumer rate limits.Source 2, Source 5
n8nWorkflows can require human approval before an AI Agent node runs a tool; agents, in preview, can pause for approval before running sensitive tools.Source 7, Source 25
Kong’s AI Policies can also apply to models, MCP servers, consumers, or globally.Source 2 Self-hosted n8n can block users from specific nodes with an environment variable.Source 26
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Kong AI Gateway | n8n | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | Gateway for LLM, MCP, and A2A traffic.Source 1, Source 2 All three run through one data plane, with shared authentication, observability, and policy features.Source 2 | n8n calls itself a platform to build AI agents and workflows visually and with code.Source 3 Enterprise targets strict compliance and governance needs.Source 19 |
| Maturity | Version 2.0 announced generally available on 1 September 2026; 2.2.0 released 30 September 2026.Source 21, Source 36 Konnect Catalog’s agent inventory is in beta.Source 12 | The Agents feature is in preview; n8n’s changelog dates its release to September 2026.Source 7, Source 22 A new minor version ships most weeks.Source 22 |
| Control | ||
| Agent registry and discovery | Each AI Agent entity is scoped to one gateway instance.Source 2, Source 5 An organization-wide agent inventory in Konnect Catalog is in beta.Source 12 | Agents, in preview, live in n8n projects.Source 7 The node panel lists MCP servers to connect to an agent.Source 37 Listing agents built elsewhere is not publicly documented. |
| Identity and access control | An agent can require API key or OpenID Connect authentication before routing, and an allow or deny list enforced before traffic reaches it.Source 5 | Access to agents (preview) follows n8n roles; self-hosted Community must be registered for project roles.Source 16, Source 38 Per-agent identity from n8n: not publicly documented. |
| Ownership, policy, and revocation | Agent policies include input validation, logging, and rate limits.Source 5 Kong’s AI PII Sanitizer scrubs requests to AI models: a Plus add-on, included on Enterprise.Source 14, Source 39 | Agents (preview) can be unpublished and can pause for approval before sensitive tools run.Source 7 Workflows can require human approval before an AI Agent runs a tool.Source 25 |
| Audit log and observability | A2A audit logs record task IDs, method calls, latencies, and errors.Source 30 Konnect’s own audit logs (Enterprise) go to a webhook and are kept 7 days in Konnect.Source 14, Source 40 | Enterprise log streaming to syslog, a webhook, or Sentry.Source 31 MCP audit events cover the instance MCP server, not MCP Server Trigger workflows.Source 31 |
| Connection | ||
| How agents connect | In 2.x, data plane nodes you run receive LLM, MCP, and A2A traffic and forward allowed calls upstream, including to each agent’s URL.Source 2, Source 5 | The MCP Server Trigger node exposes a URL for MCP clients.Source 9 For its instance MCP server, n8n says cloud-based clients need a publicly accessible instance.Source 24 |
| Agents across organizations | Proxies to agents at their upstream URLs.Source 5 Another organization’s agents, under its control: not publicly documented. | n8n tools can be exposed to external AI agents through the MCP Server Trigger node.Source 10 Another organization’s agents, under its control: not publicly documented. |
| Protocol support | Detects A2A over JSON-RPC and REST bindings.Source 5 Proxies or combines MCP servers; accepts four client MCP revisions, 2025-03-26 to 2026-07-28 (the last from 2.1).Source 2, Source 41 | MCP server (a trigger node and a built-in instance server) and MCP client (a tool node).Source 9, Source 10, Source 24 First-party A2A support is not publicly documented. |
| Frameworks, models, and clouds supported | Proxies A2A and plain HTTP agents, including SigV4-signed calls to agents on Amazon Bedrock AgentCore Runtime.Source 5 Kong says it doesn’t change how agents are built.Source 6 | AI nodes implement LangChain’s JavaScript framework, with your choice of agent, LLM, and memory.Source 13 Managing agents built outside n8n is not publicly documented. |
| Operations | ||
| Deployment options and data residency | 2.x: a Konnect-managed control plane in a region you choose, data plane nodes you run.Source 2, Source 42 Kong also sells Kong-managed Dedicated Cloud and serverless gateways.Source 14, Source 43, Source 44 | n8n Cloud on Microsoft Azure, with data stored in Frankfurt, Germany, or self-hosted, with data wherever you host it.Source 19, Source 35 |
| Compliance attestations | From 2.2, FIPS mode uses only FIPS 140-3 approved algorithms; not submitted for NIST validation.Source 32 Kong lists ISO 27001, SOC 2, and PCI DSS for Kong Inc.Source 33 | n8n says the company holds a SOC 2 Type 2 report and lists SOC 3 and GDPR.Source 34 The SOC 2 report is for enterprise customers.Source 35 |
| Support and SLA | Konnect targets 99.9% availability; Dedicated Cloud Gateways list a 99.99% SLA, serverless gateways none.Source 14 Enterprise support SLAs: 30 min to 2 hours.Source 14 | Dedicated support on Enterprise only, with guaranteed response times available through SLAs.Source 19 An uptime SLA percentage is not publicly documented. |
| Time and effort to get running | A quickstart script creates a Konnect control plane and a local Docker data plane; you then add each agent as an AI Agent entity and attach policies.Source 8, Source 23 | A 14-day Cloud trial, or a one-step local setup with Docker.Source 15, Source 45 Self-hosted paid plans use a license key that pings n8n daily, or a certificate if air-gapped.Source 19, Source 20, Source 46 |
| Pricing model and public prices | Plus: from $25 a month plus usage; per control plane, $200 hybrid, $500 Dedicated Cloud, $25 serverless.Source 14 Enterprise: custom, billed annually.Source 14 | By monthly workflow executions.Source 19 Cloud Starter is $20 and Pro $50 a month, billed annually.Source 19 Self-hosted Community is free.Source 20 |
| Building | ||
| Agent building tools | AI MCP Server can turn REST APIs into MCP tools.Source 2 Tools for building agents in Kong AI Gateway are not publicly documented. | A visual editor with JavaScript or Python anywhere in a workflow, LangChain-based AI nodes, and the Agent Builder, in preview.Source 3, Source 7, Source 13 |
| Model access | One API to providers including OpenAI, Anthropic, Gemini, Amazon Bedrock, Mistral, and Ollama, with your own credentials.Source 2, Source 8, Source 47 | Bring your own LLM credentials for providers such as OpenAI, Anthropic, and Google, and combine several models in one workflow.Source 11, Source 48 |
| Integrations and ecosystem | A Policies Hub of policies and integrations.Source 28 AI Vault resolves secrets from backends such as AWS, GCP, Azure, and HashiCorp Vault.Source 2 | n8n’s homepage states over 500 integrations, and n8n states 600+ community-built templates for agentic workflows.Source 3, Source 49 |
Which to choose
Choose Kong AI Gateway if
- You want one gateway for LLM, MCP, and A2A traffic, with shared authentication, observability, and policy features.Source 1, Source 2
- You want to govern agents at their existing URLs; Kong says it doesn’t change how agents are built.Source 5, Source 6
- You’d rather run the data plane yourself: Kong’s control plane never carries your data traffic, and nodes keep proxying if it’s unreachable.Source 2
- You want per-agent allow or deny lists checked before traffic reaches an agent, plus rate limits and input validation on agent traffic.Source 5
Choose n8n if
- You want to build agents and workflows visually, writing JavaScript or Python where you need it, as n8n describes.Source 3
- You want to self-host for free: without a license key, n8n runs as the free Community edition on your own infrastructure.Source 15, Source 20
- You want people in the loop: workflows can require human approval before an AI Agent node runs a specific tool.Source 25
- You want pricing by workflow executions, with unlimited users on paid plans, and over 500 integrations, per n8n’s homepage.Source 3, Source 19
Questions buyers ask
Is Kong AI Gateway an alternative to n8n?
Do they support MCP and A2A?
How is each one priced?
Can Kong AI Gateway and n8n be self-hosted?
Fully self-hosted AI gateways are part of Kong’s separate Gateway Enterprise offering; Kong AI Gateway 2.x runs hybrid, with a Konnect-managed control plane.Source 2, Source 14 Self-hosted n8n’s paid license keys ping n8n’s license server daily; air-gapped installs can use a license certificate.Source 15, Source 19, Source 46
How we compare
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We re-check every fact at least every 90 days. This page was last checked .
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Sources
54 public sources, each with the date we checked it. Every one opens in a new tab.
Source 2: AI Gateway architecture - Kong Docs Back:abcdefghijklmnopqrstuvwxyz
Source 3: AI Workflow Automation Platform - n8n Back:abcdefghijk
Source 5: AI Agents - Kong AI Gateway docs Back:abcdefghijklmnopqrstuv
Source 6: The Agent Gateway for Secure, Observable Agent-to-Agent Communication (Kong) Back:abcd
Source 17: Set up SAML Back:ab
Source 18: Set up OIDC Back:ab
Source 21: Kong AI Gateway 2.0 Is Now GA - And It's Already Moving Faster Back:ab
Source 22: Changelog Back:abcd
Source 23: Route A2A agent traffic through AI Gateway - Kong Docs Back:ab
Source 27: AI Auth Strategies - Kong AI Gateway docs Back to text
Source 29: Request Termination - Configuration Reference - Policy | Kong Docs Back to text
Source 30: Route A2A traffic through AI Gateway - Kong Docs Back:ab
Source 32: FIPS 140-3 compliance in AI Gateway - Kong Docs Back:ab
Source 36: Kong AI Gateway changelog - Kong Docs Back to text
Source 39: AI PII Sanitizer - Policy | Kong Docs Back to text
Source 40: Konnect and Dev Portal audit logs - Kong Docs Back to text
Source 41: MCP version support - Kong AI Gateway docs Back to text
Source 43: Dedicated Cloud Gateways - Kong Docs Back to text