GitHub - Kong/kong: 🦍 The API and AI Gateway

What is Kong

Kong is an open-source API and AI gateway designed specifically for cloud-native architectures, microservices ecosystems, and Kubernetes environments. Functioning as both a reverse proxy and an ingress controller, Kong serves as the central entry point for managing traffic directed toward backend services. It is built on top of OpenResty and Lua, a technology stack chosen to deliver high-performance, low-latency processing capabilities essential for modern distributed systems.

Originally established as a robust API gateway, Kong has evolved to address the emerging needs of artificial intelligence infrastructure. It now includes specific capabilities for managing Large Language Model (LLM) traffic and Model Context Protocol (MCP) endpoints. This dual focus allows organizations to secure, monitor, and route both traditional RESTful APIs and AI-driven model requests through a unified platform. The project is hosted on GitHub, where it maintains a significant presence with thousands of stars and active community contributions, indicating its widespread adoption among developers and platform engineering teams.

Key Features

Kong distinguishes itself through a modular architecture centered around a rich plugin ecosystem and native cloud-native integrations. The following features define its core functionality:

• API Gateway Capabilities: Kong handles critical traffic management tasks including routing, load balancing, and service discovery. It ensures that requests are efficiently distributed across backend instances, maintaining high availability and performance for microservices.
• AI Gateway Support: Recognizing the shift toward AI-integrated applications, Kong provides specialized features for AI workloads. This includes an LLM gateway for proxying requests to large language models and an MCP gateway for managing Model Context Protocol endpoints. These features allow developers to standardize how their applications interact with various AI models, handling authentication, rate limiting, and logging for AI traffic just as they would for traditional APIs.
• Kubernetes Ingress Controller: Kong integrates natively with Kubernetes, acting as a powerful ingress controller. This simplifies the management of external access to services within a cluster, allowing for declarative configuration of routing rules directly within the Kubernetes environment.
• Extensive Plugin Ecosystem: The platform supports over 200 plugins that extend its functionality without requiring core code modifications. These plugins cover a wide range of needs, including authentication (such as JWT, OAuth2, and Key Authentication), security (rate limiting, ACLs, CORS), observability (logging, metrics), and transformation (request/response modification, caching).
• Cloud-Native Design: Kong is engineered for DevOps and serverless environments. It supports containerized deployments and can trigger serverless functions, making it suitable for event-driven architectures and modern infrastructure-as-code workflows.
• Reverse Proxy Functionality: As a reverse proxy, Kong sits between clients and backend servers, abstracting the complexity of the underlying infrastructure. This enhances security by hiding internal service details and provides a single point for applying security policies and monitoring.

Use Cases

Kong is versatile and addresses several common architectural challenges in modern software development:

• Microservices Architecture Management: In complex microservice environments, Kong manages the intricate traffic flows between services. It provides load balancing and service discovery, ensuring that client requests are routed to healthy instances and that the system scales effectively under varying loads.
• Kubernetes Ingress Routing: For organizations running applications on Kubernetes, Kong serves as the ingress controller. It routes external traffic to the appropriate internal services based on defined rules, simplifying network configuration and improving security posture within the cluster.
• AI and LLM Proxying: As AI becomes integral to many applications, Kong allows teams to proxy requests to various LLM providers. It manages MCP endpoints, enabling standardized interaction with AI models. This use case is critical for enterprises looking to govern AI usage, control costs via rate limiting, and ensure secure access to model APIs.
• API Security and Monetization: Kong helps organizations secure their APIs against unauthorized access and abuse. Through plugins, it enforces authentication and authorization policies. Additionally, it supports monitoring and analytics, which are essential for monetizing APIs by tracking usage and generating billing data.
• Serverless Integration: Kong can integrate with serverless platforms, triggering functions in response to API events. This supports event-driven architectures where API calls initiate backend processing without the need for always-on server infrastructure.

Pricing Overview

Kong operates on a dual-model pricing structure that caters to different organizational needs:

• Open Source (Free): The core Kong Gateway is open-source and available for free use under the Apache 2.0 license. This version provides the fundamental API and AI gateway functionalities, including the plugin framework and Kubernetes ingress controller capabilities. It is suitable for individual developers, startups, and teams with standard requirements who prefer self-managed infrastructure.
• Enterprise (Kong Konnect): For larger organizations requiring advanced features, Kong offers a commercial enterprise version known as Kong Konnect. This subscription-based service includes additional capabilities such as advanced analytics, dedicated support, and managed services. Pricing for the enterprise version is not publicly listed in the source material but is determined based on usage volume and the level of support required. This tier is ideal for enterprises needing SLAs, enhanced security features, and centralized management of distributed gateways.

Who Should Use It

Kong is particularly well-suited for developers, DevOps engineers, and platform teams who are building or maintaining cloud-native applications. It is an ideal choice for organizations that:

• Utilize microservices architectures and require robust traffic management and service discovery.
• Deploy applications on Kubernetes and need a reliable ingress controller.
• Are integrating AI/LLM capabilities into their products and need a gateway to manage, secure, and monitor AI model traffic.
• Require a highly extensible platform with a large ecosystem of plugins for security, logging, and transformation.
• Value open-source solutions with strong community support and commercial backing for scalability.

For more information on similar tools, explore the ToolSeekAI tools directory or view our rankings for comparative insights.

FAQ

Is Kong free to use? Yes, the core Kong Gateway is open-source and free under the Apache 2.0 license. An enterprise version (Kong Konnect) is available for a subscription fee.

What is the AI Gateway feature? The AI Gateway allows Kong to proxy and manage traffic to Large Language Models (LLMs) and Model Context Protocol (MCP) endpoints, providing security and rate limiting for AI requests.

Does Kong support Kubernetes? Yes, Kong includes a native Kubernetes Ingress Controller that simplifies routing external traffic to services within a Kubernetes cluster.

How many plugins does Kong support? Kong supports over 200 plugins for extending functionality, covering areas like authentication, security, logging, and caching.

What is Kong built on? Kong is built on top of OpenResty and Lua, which provides high performance and extensibility for handling API traffic.

Who is Kong Konnect for? Kong Konnect is the enterprise version of Kong, offering advanced analytics, support, and managed services for organizations with complex requirements.