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MCP Starter — agentic threat model

7.8AIVSS 7.8 · High

MCP Starter is a developer scaffolding template with minimal inherent agentic risk, but it presents a significant downstream security risk if developers implement powerful tools without establishing proper sandboxing, authentication, or input validation.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.8AARS uplift 0.02Factor sum 0.1/10Threat ×1.0Mitigation ×1.0
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
0.00
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.00
Opacity & Reflexivity
0.00

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The boilerplate does not bundle or specify a foundation model; it is model-agnostic and relies entirely on the connecting client's LLM.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — There is no data layer or vector store included in this starter template; data operations depend entirely on custom developer implementation.

L3 · Agent Frameworks✓ mapped

The boilerplate provides the basic orchestration framework (MCP server/client wiring in TypeScript). The primary threat is insecure tool integration or framework vulnerabilities if developers expose sensitive local APIs without validation.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The boilerplate includes build config but does not dictate hosting, sandboxing, or secrets management, leaving these infrastructure layers highly vulnerable if misconfigured by the developer.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No built-in evaluation, logging, or guardrail mechanisms are mentioned in the starter repository.

L6 · Security & Compliance (cross-cutting)✓ mapped

The boilerplate lacks built-in authentication, authorization, or policy enforcement controls, meaning any security must be manually implemented by the developer.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it enables MCP (Model Context Protocol) ecosystem connectivity, the boilerplate itself does not manage multi-agent trust or marketplace interactions.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).