gitea/gitea-mcp — agentic threat model
The gitea-mcp agent acts as a powerful bridge to self-hosted Gitea instances, presenting high risk due to its ability to perform write operations on repositories, issues, and pull requests, which could lead to supply chain attacks or code poisoning if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.60 | |
| 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 MCP server itself is model-agnostic and does not bundle a specific foundation model, meaning model-level threats depend entirely on the orchestrating LLM.
Not certain from the listing — Does not manage its own vector stores or training data, but acts as a direct gateway to Gitea repository data, issues, and pull requests.
Exposes Gitea API operations as tools via the Model Context Protocol (MCP). Vulnerable to tool misuse and indirect prompt injection, where malicious repository content or issue descriptions could trick the orchestrating agent into executing unauthorized write operations.
Designed for self-hosted Gitea deployments. Security is highly dependent on the hosting environment, secure storage of Gitea API tokens, and network isolation to prevent unauthorized lateral movement if the MCP server is compromised.
Not certain from the listing — No built-in evaluation, guardrails, or advanced logging are specified in the directory listing to monitor tool execution or detect anomalous API calls.
Access control and authorization rely entirely on the provided Gitea API tokens. Over-privileged tokens (e.g., admin or write access to critical repos) represent a significant security and compliance risk if not strictly scoped.
As an MCP tool provider, this agent can be integrated into broader multi-agent ecosystems, introducing risks of cascading failures or unauthorized code modifications if upstream orchestrators are compromised.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).