Solo.io launches MCP Gateway for AI agent integration

Open source Model Context Protocol (MCP) gateway provides advanced security, tool federation, and streamlined development for Artificial Intelligence (AI) teams integrating MCP-compatible tools with AI agents.

KubeCon + CloudNativeCon Europe 2025 – Solo.Inference Orchestrator (IO) has announced the launch of MCP Gateway, aimed at enhancing the integration and governance of AI agents with MCP-compatible toolchains. This gateway offers a standardized method for connecting AI agents to various data sources and tools, which is essential for modern cloud-native application delivery.

Companies such as Domino’s Pizza, ParkMobile, and Vonage are utilizing kgateway to manage Application Programming Interface (API) traffic and improve resilience and security. The newly introduced MCP Gateway is designed to support the increasing demand for effective traffic management, particularly for Large Language Model (LLM) service providers.

MCP, originally developed by Anthropic, has quickly become a standard protocol for connecting LLMs with different tools. As this protocol's adoption increases, organizations face challenges managing a growing array of MCP tools, leading to complexities in discovery, connectivity, and security.

The MCP Gateway allows developers to effectively discover, secure, and federate multiple MCP tools and servers into a single virtualized MCP server. This process simplifies access, providing a secure tool registry while reducing the overhead associated with manual integration.

“While MCP has rapidly emerged as the de facto standard protocol for accessing tools from agents, building MCP integration capabilities into every application client and agent is error-prone and cumbersome for AI development teams,” said Keith Babo, Chief Product Officer at Solo.IO. “MCP Gateway eliminates the need to manually connect these agents and tools by consolidating MCP servers into one place, saving teams countless hours and eliminating undifferentiated heavy lifting.”

Key use cases for MCP Gateway include:

• Simplifying tool onboarding through automated discovery and registration of MCP tool servers.
• Providing a centralized registry of MCP tools across various servers.
• Enabling access to any MCP tool via a single endpoint through innovative MCP multiplexing.
• Securing MCP tool server implementations to ensure consistent authentication and authorization controls.
• Offering insights into AI agent and tool integrations through centralized metrics and logging.

As part of kgateway, MCP Gateway is an open-source project under the Cloud Native Computing Foundation.