HowToCook MCP — agentic threat model
The HowToCook MCP agent presents an exceptionally low risk profile due to its strictly read-only, local dataset and lack of external integrations, stateful execution, or write privileges.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| 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.
Not certain from the listing — The listing does not specify the underlying LLM used to drive the MCP client, but standard LLM risks like prompt injection could cause the agent to output bizarre recipes or ignore scaling instructions.
Uses a bundled, read-only dataset from the Anduin2017/HowToCook repository. Risk of data poisoning is minimal and limited to upstream supply chain compromise of the cookbook itself.
Integrates via the Model Context Protocol (MCP). The tool surface is strictly limited to read-only recipe queries, minimizing the risk of tool misuse or destructive actions.
Not certain from the listing — Typically deployed as a local MCP process. Security relies entirely on the host environment's sandboxing and the client application's execution boundaries.
Not certain from the listing — No built-in logging, evaluation, or observability guardrails are mentioned for this lightweight example server.
Lacks independent authentication or authorization mechanisms, relying entirely on the local client's security posture. No compliance requirements are triggered as it does not handle PII or sensitive data.
Operates as a utility tool within an MCP ecosystem. It poses virtually no risk of cascading failures or malicious multi-agent coordination due to its passive, read-only nature.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).