Mplify Launches Kylie SDK to Drive AI-Native Service Automation

The push toward autonomous network operations just took a significant leap forward. Mplify, a global alliance of cloud, cybersecurity, and network organizations, has released the Kylie SDK, a strategic update designed to assist service providers automate, monetize, and scale digital services across interconnected ecosystems.

At the heart of this release is the integration of the Model Context Protocol (MCP) across Mplify’s Lifecycle Service Orchestration (LSO) APIs. By bridging the gap between standardized APIs and AI frameworks, Mplify is making it easier for providers to manage complex, multi-domain environments.

Bridging AI and Network Infrastructure

For years, the challenge for service providers hasn’t just been about having the right tools, but about how those tools communicate. The Kylie SDK addresses this by introducing MCP support, which allows Large Language Models (LLMs) and AI agents to interact more directly with networking infrastructure.

According to Pascal Menezes, CTO of Mplify, this integration is a milestone in simplifying collaboration across cybersecurity, cloud, and network ecosystems. The goal is to reduce service complexity and accelerate decision-making, moving the industry closer to truly autonomous operations [1].

Key Features of the Kylie SDK Release

The Kylie release focuses on updating Interface Reference Points (IRPs) to ensure that both operational and business functions are AI-ready.

AI-Native LSO APIs

The portfolio now includes full MCP support, which enables seamless integration with AI-driven diagnostic tools and orchestration frameworks. This allows providers to use AI to monitor and manage services with greater precision and less manual intervention.

LSO Business APIs

Automation isn’t just for the technical backend; it’s also for the bottom line. Mplify has updated the LSO Sonata and Cantata SDKs to streamline essential inter-provider business processes, including:

• Ordering: Faster processing of service requests across providers.
• Quoting: Automated and accurate pricing for digital services.
• Billing: Simplified financial reconciliation in multi-provider environments [2].

Key Takeaways for Service Providers

• Direct AI Interaction: LLMs can now interact with network infrastructure via MCP, reducing the need for manual translation layers.
• Scalability: The SDK enables providers to scale digital services more efficiently across global, multi-provider ecosystems.
• Operational Efficiency: Updated schemas for IP and Carrier Ethernet help automate the deployment of digital services.
• Streamlined Business Logic: Updated Sonata and Cantata SDKs reduce friction in quoting and billing.

The Path Toward Autonomous Ecosystems

The introduction of the Kylie SDK signals a shift toward an AI-powered digital economy where the network is no longer a static utility but an intelligent, responsive system. By combining standardized LSO APIs with the Model Context Protocol, Mplify provides the framework necessary for AI agents to handle the heavy lifting of service orchestration.

As providers continue to adopt these AI-native tools, the industry can expect a reduction in operational overhead and a faster time-to-market for complex digital services across the global interconnect landscape.