Imagine Communications announced it will demonstrate a three-part AI framework at IBC2026, incorporating the Model Context Protocol (MCP) into its Landmark ad tech and Magellan infrastructure portfolios. The integration aims to enable natural language campaign management and automated playout operations while maintaining secure system-of-record workflows.
The adoption of the Model Context Protocol signals a shift from simple generative tools to agentic AI that can safely interact with core broadcast infrastructure. By creating a governed interface between AI models and systems of record like Landmark and Magellan, Imagine Communications addresses the primary barrier to AI adoption in live environments: operational risk. This move places the company at the forefront of the 'Total TV' trading trend, where automated, conversational interfaces must coexist with rigid broadcast business rules. As the industry moves toward IBC2026, watch for whether competitors adopt similar standardized protocols or continue building proprietary, siloed AI wrappers for their legacy hardware and software stacks.
The Model Context Protocol has rapidly become the de facto standard for connecting AI agents to external tools and data sources. Originally launched by Anthropic in November 2024, MCP was donated to the Agentic AI Foundation in December 2025, signaling its transition from a single-vendor initiative to an industry-governed specification. The protocol standardizes how agents discover, describe, and invoke tools using JSON-RPC 2.0 with three primitives: tools (model-invoked functions), resources (application-controlled data), and prompts. For broadcast and ad-tech vendors like Imagine Communications, this governance structure reduces the integration burden of connecting AI assistants to legacy systems of record such as Landmark and Magellan.
Standardization bodies are now formalizing the protocol landscape for agentic AI across industries. The IETF has published a draft use-case document that inventories agentic AI protocol requirements, explicitly naming MCP alongside competing proposals like A2A, ANP, and Agntcy. The draft highlights that telecom and media networks, which are inherently multi-vendor, require standardized mechanisms for data modeling, telemetry export, and capability advertisement so that AI agents can reliably operate across administrative boundaries. This regulatory and standards momentum directly supports Imagine Communications' positioning at IBC2026: by adopting MCP rather than a proprietary interface, the company aligns with the direction the IETF is charting for cross-domain agent interoperability.
In the broadcast and IPTV space, agentic AI is already moving beyond proof-of-concept into production deployments. SK Broadband upgraded its B TV platform in September 2025 with an LLM-powered interactive media agent that combines conversational search, real-time channel recommendations, and AI-driven UHD upscaling of live sports using SK Telecom's Super Nova deep-learning algorithm. The service uses retrieval-augmented generation to ground responses in media metadata, a pattern architecturally similar to what Imagine Communications is building for ad-sales workflows. Meanwhile, NVIDIA's dominance in AI networking infrastructure continues to shape the compute layer underneath these deployments; theCUBE Research published an analysis arguing that NVIDIA's networking moat gives it structural advantages in AI data-center interconnect, which underpins the GPU-heavy inference workloads that MCP-connected agents require at scale. Together, these developments illustrate that the agentic AI stack for media is consolidating around open protocols at the application layer while compute and networking remain concentrated among a few infrastructure providers.
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