New whitepaper outlines how CAMARA network API and MCP work together to connect AI systems to real-time network intelligence
san francisco, January 12, 2026 /PRNewswire/ — Linux Foundation's Kamala The project, an open source community dedicated to API interoperability in the communications industry, today announced new white paper“Concert: Bridging AI Systems and Network Infrastructures via MCP: How to Build Intelligent Network-Enabled Applications.” This paper describes how AI applications and agents can integrate with communication network infrastructures by exposing CAMARA network capabilities to AI systems. Model Context Protocol (MCP)This allows AI to consume real-time, policy-compliant network context to improve digital experiences and application outcomes.
CAMARA exists to help developers “write once” to operator-independent network APIs, reducing fragmentation and enabling consistent access to network features such as quality on demand (QoD), device location, edge discovery, and antivirus.scam signal. A new paper outlines how MCP servers can act as translators, turning CAMARA APIs into MCP “tools” that AI applications can discover and call, bridging the historical isolation between AI systems and the networks that power modern digital services. By adopting MCP, AI agents have instant access to the latest API features released, eliminating the bottleneck of continuous code refactoring. This seamless integration ensures that users always experience the full potential of technology from the moment it becomes available.
“AI agents are increasingly shaping the digital experiences people rely on every day, but they operate separate from network functions such as intelligence, control and real-time sources of truth,” said Herbert Damker, CAMARA TSC Chairman and Lead Architect for Infrastructure Cloud at Deutsche Telekom. “CAMARA and MCP bring together AI and network infrastructure securely and consistently across carriers.”
This document contains practical example scenarios for “network-enabled” intelligent applications/agents, including:
- Intelligent video streaming with AI-powered quality optimization
- banking industry scam Prevention using network-validated security contexts
- Local/edge-optimized AI deployment depending on network and edge resource conditions
This document outlines the architecture and use cases, as well as CAMARA's goals for supporting MCP. This also includes areas such as security guidelines. Standardized MCP tools for CAMARA API. Quality requirements and success factors for production-grade implementations. The white paper can be downloaded from: Kamala's website.
Collaboration with Agentic AI Foundation
The release of this work coincides with major ecosystem milestones. MCP now operates under the newly formed Linux Foundation. Agenttic AI Foundation (AAIF)a sister initiative that provides neutral and open governance for key agent AI components. Linux Foundation Announcement of AAIF on December 9, 2025, He contributed to founding projects such as Anthropic's MCP, Block's goose, and OpenAI's AGENTS.md. The AAIF launch highlights MCP's role as a widely adopted standard for connecting AI models to tools, data, and applications, with the Linux Foundation and Anthropic citing more than 10,000 publicly available MCP servers.
“With MCP now part of the Linux Foundation's Agentic AI Foundation, developers can now invest in open, vendor-neutral standards with confidence,” said Arpit Joshipura, general manager of networking, edge, and IoT at the Linux Foundation. “CAMARA’s research shows how MCP can unlock a powerful new class of network-enabled AI applications.”
“At the Agentic AI Foundation, we want reliable infrastructure, and CAMARA meets that demand. As AI moves from conversation to orchestration, agent workflows need to be in sync with reality,” said Nick Venezia, CEO and founder. Centillion.AIRepresentative of CAMARA End User Council TSC. “We provide a context lens that allows AI to verify rather than guess and to learn from guessing.”
This white paper can be read online or downloaded as a PDF from the CAMARA website.
Join the CAMARA ecosystem
CAMARA provides new opportunities for collaboration between network operators, marketplaces, aggregators, and API customers. CAMARA is pleased to be chosen as Aduna's network API definition location among major global telecommunications companies. A key success factor is also the established collaboration with GSMA Open Gateway and TMForum in creating an open, globally accessible API ecosystem. The benefits for customers and developers come in the form of consistent, user-friendly access to network functionality, allowing developers to seamlessly deploy applications and run consistently across communications networks and countries. This prevents fragmentation and facilitates global application portability and broader industry adoption of new capabilities faster and more versatilely.
In addition to its extensive portfolio of participating organizations, the CAMARA Foundation has 10 premium sponsors (including Accenture, Deutsche Telekom, Ericsson, Nokia, Orange, Telefonica, Verizon, Vodafone, T-Mobile), 8 general sponsors (including AlphaZero, CableLabs, Centillion.AI, Charter Communications, INDY Kite, INVIA, Scenera, Sent Inc. Shabodi), and 5 It is made up of companies. Associate Sponsors (University of California, Berkeley, OMA Specworks, OpenID Foundation, UFRN, University of Colorado Boulder).
For more information on CAMARA's growing list of APIs, please visit: https://camaraproject.org/api-overview/.
About the Linux Foundation
The Linux Foundation is the world's leading hub for collaboration on open source software, hardware, standards, and data. Linux Foundation projects are critical to the world's infrastructure, including Linux, Kubernetes, Node.js, ONAP, OpenChain, OpenSSF, PyTorch, RISC-V, SPDX, Zephyr, and more. The Linux Foundation is focused on leveraging best practices and addressing the needs of contributors, users, and solution providers to create a sustainable model for open collaboration. Click here for more information. linuxfoundation.org
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