The Linux Foundation’s CAMARA project has released a new white paper detailing how CAMARA network APIs and the Model Context Protocol (MCP) can enhance AI applications by integrating real-time network intelligence. Titled “In Concert: Bridging AI Systems & Network Infrastructure through MCP,” the paper illustrates how AI can leverage CAMARA’s operator-agnostic APIs for services such as Quality on Demand and fraud prevention. The MCP serves as a translator, facilitating seamless integration and eliminating code refactoring delays, thereby ensuring that AI applications are always up-to-date with the latest network capabilities. The white paper includes practical examples illustrating applications for intelligent video streaming and banking security. Furthermore, it highlights CAMARA’s collaboration with the newly formed Agentic AI Foundation, which promotes standardized, vendor-neutral AI solutions. These initiatives aim to foster a unified ecosystem for developers, significantly advancing global application portability and enhancing user experiences in networks. Download the white paper on the CAMARA website.
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