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Description
Overview
The MCP (Model Context Protocol) working group has developed a white paper detailing the integration of CAMARA APIs with Large Language Models (LLMs) via MCP. This integration aims to expose CAMARA APIs as callable tools, creating a standardization layer connecting AI systems to network capabilities.
This enhancement tracks the tasks required to define the ownership of MCP-related work within CAMARA and implement the roadmap outlined in the white paper (specifically Section 5): see MCP White paper.
The TSC is requested to review the white paper and provide comments, in particular in the section 5 related to the work to be undertaken by CAMARA
Approval of the the white paper implies approval of the MCP work to start in CAMARA.
Action Plan and Sub-Issues
If/when approved by the TSC, to progress the MCP work in CAMARA, the following potential actions are listed here for project consideration and allocation:
- Ownership and Roadmap Implementation: Determine where MCP workstreams (guidelines, tools, quality requirements) will be hosted within CAMARA (e.g., Commonalities, ICM) and detail the required work
Other activities may include:
2. Standardized Demo/Sandbox: Discuss the requirements and feasibility of hosting a standardized, interactive CAMARA GPT demo or sandbox for developer engagement.
3. Event Awareness: Plan MCP focused participation in the upcoming MCP Day at KubeCon Europe (Marcj 2026) and other events