Calculator MCP (math.js) — agentic threat model
The Calculator MCP is a low-risk, stateless mathematical utility tool with minimal agentic autonomy, whose primary security boundary relies on the expression-evaluation safety of the underlying math.js library.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.10 |
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.
The tool relies on an external LLM (Foundation Model) to formulate mathematical expressions. The primary threat is model reprogramming or prompt injection forcing the model to generate malicious or resource-intensive math expressions designed to exploit math.js.
Not certain from the listing — The tool is described as a stateless compute tool with no external data access or vector stores, meaning traditional data operations, RAG, and data poisoning threats are not directly applicable here.
The tool exposes a single math.js execution interface. The main threat is insecure tool integration, specifically if the math.js configuration allows access to unsafe JavaScript globals, prototype pollution, or arbitrary code execution via math.js expression parsing.
Not certain from the listing — The deployment environment of this MCP server is not specified. If hosted without sandboxing, a math.js vulnerability could lead to local resource exhaustion (DoS) or remote code execution on the host system.
Not certain from the listing — There is no mention of logging, input validation guardrails, or execution monitoring to detect and block malicious, recursive, or excessively large mathematical expressions before they are evaluated.
Not certain from the listing — The tool lacks explicit authentication, authorization, or policy enforcement mechanisms, relying entirely on the parent application hosting the MCP server to manage access control.
The tool does not engage in multi-agent coordination or marketplace interactions. Its ecosystem risk is limited to being a downstream dependency that could be abused by a compromised orchestrator agent.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).