PubNub MCP Server — agentic threat model
The PubNub MCP Server presents significant operational risk due to its ability to manage production API keys, modify keysets, and publish real-time messages. If compromised via prompt injection or credential theft, it could lead to unauthorized data access or disruption of real-time application services.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the MCP server itself does not bundle a foundation model but connects external LLMs (like Claude or GPT-4 via Cursor/VS Code) to PubNub APIs. Threats depend on the host assistant's model robustness against prompt injection.
Retrieves PubNub SDK documentation and manages real-time data (messages, presence, user/channel objects). Threat of data exfiltration or manipulation of real-time message streams if the agent is fed malicious inputs.
Uses the Model Context Protocol (MCP) to expose tools to AI assistants. Threats include tool misuse (e.g., unauthorized publishing of messages, modifying keysets, or enabling/disabling features like persistence) via prompt injection.
Runs locally or in containers (Docker, npm) as a CLI tool. Secrets (PubNub API keys, publish/subscribe keys) are managed via environment variables (fixed mode) or passed dynamically. Risk of local credential theft or container escape if the host environment is compromised.
Not certain from the listing — no built-in evaluation, guardrails, or observability tools are mentioned. Relies entirely on the host IDE/assistant framework (e.g., Cursor, Claude Code) for logging and user confirmation of tool execution.
Authentication relies on PubNub API keys and publish/subscribe keys (fixed or dynamic mode). Lacks fine-grained authorization controls within the MCP server itself; any tool-using agent inherits the permissions of the provided API key.
Not certain from the listing — designed primarily as a single-agent developer tool integrated into IDEs, but could be chained in multi-agent workflows. Risks include cascading failures if another agent publishes malicious payloads to a subscribed channel.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.