Kong
Cloud-native, platform-agnostic API gateway with built-in AI/LLM and MCP traffic management, extensible via plugins.
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A versatile cloud-native gateway that handles APIs, LLMs, and MCP traffic with rich plugins and native Kubernetes support.
Core Features
- Advanced routing, load balancing, health checking
- Universal LLM API across multiple providers
- MCP traffic governance, security, and observability
- 60+ AI capabilities: semantic caching, security, etc.
- Rich plugin ecosystem for auth, rate limiting, logging
What It Can't Do
- •Default uses PostgreSQL; DB-less mode requires extra config,Advanced AI features may require Konnect subscription,Enable SSL/TLS and security policies in production,Plugin compatibility: Lua plugins are faster than Go/JS
Use Cases
- Unified microservices API gateway
- Enterprise AI gateway for multi-LLM routing and security
- Kubernetes ingress traffic control
- MCP proxy and governance
Kong Gateway is a cloud-native, platform-agnostic, scalable API gateway that also handles AI, LLM, and MCP traffic. It provides high-performance proxying, routing, load balancing, health checking, authentication, and more. With a rich plugin ecosystem, it serves as the central layer for orchestrating microservices, conventional APIs, and agentic LLM/MCP flows. It runs natively on Kubernetes via its official Ingress Controller. Kong offers advanced AI features like multi-LLM routing, semantic security, and MCP governance. It supports declarative configuration and hybrid deployment without vendor lock-in.
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Getting Started
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Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Clone docker-kong repo and enter compose directory
Step 2: Run `docker-compose --profile database up` to start PostgreSQL and Kong
Step 3: Access Kong Manager at http://localhost:8002
- Step 1: Clone docker-kong repo and enter compose directory
- Step 2: Run `docker-compose --profile database up` to start PostgreSQL and Kong
- Step 3: Access Kong Manager at http://localhost:8002
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Stop Docker containers and remove volumes with `docker-compose down -v`, then delete the docker-kong directory.
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