Miro MCP Server — agentic threat model
The Miro MCP Server exposes collaborative board data (diagrams, docs, tables) to LLM agents, presenting a significant confidentiality and integrity risk. Its security posture heavily relies on the robustness of OAuth scope configurations to prevent unauthorized data exfiltration or manipulation by compromised orchestrators.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 Miro MCP Server acts as an integration layer and does not specify the underlying foundation models used for diagram and doc generation.
The primary data surface consists of shared collaborative boards containing diagrams, docs, and tables. Risks include unauthorized data exfiltration of sensitive IP and knowledge-base poisoning if malicious content is written to the boards.
Exposes tool-calling capabilities (board read/create) via the Model Context Protocol (MCP). Vulnerabilities could arise from insecure tool integration or prompt injection leading to unintended board modifications.
Operates as a remote MCP server. Security relies on the hosting environment's network isolation and the secure storage of OAuth client secrets and access tokens.
Not certain from the listing — There is no mention of logging, auditing, or guardrails to monitor the actions performed by the MCP server on Miro boards.
Employs OAuth remote access to govern read and write reach. Security compliance is highly dependent on users configuring the least-privilege OAuth scopes to limit the agent's blast radius.
Designed to allow external agents to interact with Miro boards. This introduces risks of agent-to-agent trust abuse, where a compromised orchestrator agent exploits the Miro MCP server to alter shared team spaces.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).