AI-Native Service Automation | Mplify Unveils Kylie SDK Release with MCP Integration

Key Takeaways

• Kylie SDK adds MCP support to LSO APIs
• Enables AI agents to orchestrate network services
• LSO API Blending Tool automates payload integration
• Roadmap targets autonomous networking with Lana release

Summary

Mplify has launched the Kylie SDK, adding Model Context Protocol (MCP) support to its Lifecycle Service Orchestration (LSO) APIs. The update equips service providers with AI‑native LSO Business and Operational APIs, plus a new API Blending Tool that auto‑generates MCP servers for diverse payloads. By translating standardized LSO interfaces into AI‑ready formats, the release aims to simplify multi‑provider orchestration and accelerate autonomous network operations. The company previews its next milestone, the Lana release, slated for late 2026, to expand AI‑driven capabilities further.

Pulse Analysis

The telecom sector is rapidly embracing AI‑native automation, and Mplify’s Kylie SDK marks a pivotal step in that evolution. By embedding Model Context Protocol into the full suite of Lifecycle Service Orchestration APIs, the platform bridges the gap between standardized network functions and generative AI models. This alignment allows operators to leverage large language models for real‑time provisioning, fault detection, and performance tuning without bespoke code, fostering a more agile, service‑centric ecosystem.

From a technical standpoint, the Kylie release introduces an API Blending Tool that synthesizes product payloads—ranging from IP and Carrier Ethernet to emerging AI‑exchange cross‑connects—into ready‑to‑run MCP servers. This automation slashes the development cycle for AI‑driven orchestration layers, enabling rapid deployment of complex services across multi‑domain environments. Service providers can now expose ordering, quoting, and billing functions through LSO Business APIs while simultaneously tapping AI‑enhanced operational insights via the updated Operational APIs, driving both revenue opportunities and operational efficiency.

Strategically, Mplify’s move positions it as a key enabler for the industry’s autonomous networking ambitions. The integration of AI‑ready LSO interfaces reduces reliance on manual configuration, lowers OPEX, and opens pathways for new monetization models such as AI‑as‑a‑service. With the upcoming Lana release promising expanded AI assets, Mplify is signaling a broader shift toward end‑to‑end AI orchestration that could reshape competitive dynamics among carriers, cloud providers, and cybersecurity firms alike.