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What is kgateway?

kgateway is a next-generation Kubernetes gateway platform built to support both microservices and AI agent ecosystems. It provides a unified control plane for API gateways, AI gateways, inference routing, and agent-to-agent communication. Built on Envoy and open standards, kgateway fully implements the Kubernetes Gateway API. The platform allows teams to aggregate APIs and enforce authentication, authorization, and rate limiting centrally. Kgateway secures LLM usage by protecting models, tools, agents, and sensitive data. It includes an inference gateway to intelligently route requests to generative AI workloads running in Kubernetes. Kgateway supports native MCP and agent-to-agent communication for scalable AI systems. The platform scales from small service-to-service gateways to enterprise-grade deployments handling billions of API calls. It enables advanced traffic management, resilience testing, and security controls. Originally launched as Gloo, kgateway has evolved into one of the most trusted gateways in the Kubernetes ecosystem. It supports hybrid, multi-cloud, and on-prem environments seamlessly. Kgateway empowers teams to build secure, resilient, and AI-ready infrastructure.

What is Apigene?

The Apigene MCP Gateway acts as a crucial runtime interface that connects AI agents to both APIs and MCP servers through the Model Context Protocol. By combining agent tools, context, skills, and instructions into a single, fully managed MCP endpoint, it elevates MCP from a basic experimental tool to a robust native solution. Apigene provides a comprehensive foundational layer for agents, all encapsulated within one MCP Gateway, which allows secure connections to APIs and MCP servers without necessitating custom glue code or specific framework modifications. Teams can easily create AI agents through conversational interfaces, specifying permitted APIs and MCP servers, outlining their reasoning frameworks, and directing their actions—all without any coding requirements. Moreover, it incorporates intelligent tool selection that matches each request with the most suitable API or MCP tool, while also supporting multi-platform deployment across a variety of environments, including ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI systems, and bespoke applications. This effective integration not only simplifies the development process but also empowers teams to harness the full potential of AI in their initiatives, allowing for greater innovation and efficiency. Consequently, the Apigene MCP Gateway stands out as a transformative solution for modern AI-driven projects.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Ambient Mesh
Flux CD
HashiCorp Nomad
HubSpot Customer Platform
Kubernetes
Solo Enterprise
agentgateway

Integrations Supported

Ahrefs
Amplitude
Atlassian Clover
Attio
ChatGPT
CircleCI
Cursor
Gemini
HubSpot CRM
LangGraph
Visual Studio Code
v0

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$200 per month

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Cloud Native Computing Foundation

Company Location

United States

Company Website

kgateway.dev/

Company Facts

Organization Name

Apigene

Date Founded

2024

Company Location

United States

Company Website

apigene.ai/

Categories and Features

API Gateways

Not specified

API Management

Access Control
Analytics
Dashboard
Developer Portal
Threat Protection
Traffic Control
Version Control

Microservices

Not specified

Categories and Features

AI Gateways

Not specified

API Gateways

Not specified

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