현재 캔버스의 SVG 코드를 반환합니다.
AI agents call export_code to retrieve information from SVG Canvas MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads and returns the current SVG canvas code. This is a pure read/export operation with no side effects, no data modification, and no destructive capability. Misuse risk is minimal as it only exposes already-created SVG content.
From the tool's definition 'SVG 코드를 반환합니다' means 'returns the SVG code' — it retrieves/exports the current canvas state without modifying anything
Attacks that exploit this kind of access
현재 캔버스의 SVG 코드를 반환합니다. It is categorised as a Read tool in the SVG Canvas MCP MCP Server, which means it retrieves data without modifying state.
Register the SVG Canvas MCP server in PolicyLayer and add a rule for export_code: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches SVG Canvas MCP. Nothing to install.
export_code is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the export_code rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for export_code. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
export_code is provided by the SVG Canvas MCP server (kim62210/svg-canvas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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