Codacy — agentic threat model
The Codacy MCP server acts as an information retrieval tool for repository metrics, posing moderate risk primarily around the exposure of sensitive vulnerability and code-quality data if the authentication token is compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.20 | |
| 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 description focuses on the MCP server and API integration, not the underlying foundation model used by the client agent.
Not certain from the listing — the MCP server retrieves code-quality, vulnerability, and coverage data from the Codacy API, but details on vector stores or RAG data operations are not specified.
The MCP server exposes tools for querying the Codacy API. Threats include tool misuse (e.g., querying sensitive repositories if the token is over-scoped) and insecure tool integration.
The MCP server runs locally or in a hosted environment, requiring a Codacy token. Threats include exposure of the Codacy token in environment variables or configuration files.
Not certain from the listing — there is no mention of evaluation, monitoring, logging, or guardrails for the MCP server itself.
Authenticated with a Codacy token scoped to the organization's projects. This provides access control, but risks exist if the token is leaked or overly permissive.
The MCP server is designed to be used by other agents (A2A). Threats include rogue agents abusing the tool to exfiltrate repository vulnerability data or code quality metrics.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).