PostgreSQL MCP — agentic threat model
The PostgreSQL MCP agent presents a moderate-to-high risk profile due to direct database credential handling (DATABASE_URL), mitigated by explicit read-only transaction enforcement and row-capping guardrails.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 agent acts as an MCP server and does not specify a native foundation model, but it is vulnerable to indirect prompt injection from database content that could manipulate the calling LLM.
Exposes database schemas, metadata, and table contents via SELECT queries. Primary risks include data exfiltration of sensitive database records and potential bypass of the row-limit cap if queries are structured maliciously.
Integrates via the Model Context Protocol (MCP). Vulnerabilities include potential tool misuse where an orchestrating agent crafts complex, resource-intensive SELECT queries to cause denial of service on the database.
Requires a DATABASE_URL environment variable containing full database credentials. If the hosting environment or MCP host is compromised, these credentials could be leaked, exposing the database to direct, non-read-only access.
Not certain from the listing — The agent enforces a configurable MCP_MAX_ROWS result cap, but the listing does not detail internal logging, query auditing, or anomaly detection for unusual data access patterns.
Enforces read-only transactions and row limits as primary guardrails. However, it relies on the underlying database's access control policies and lacks native user-level authentication or fine-grained column-level authorization.
Designed to expose database tools to other agents in an MCP ecosystem. This introduces risks of cascading failures or unauthorized data exposure if a compromised upstream agent orchestrates the queries.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).