AI agents call list_projects to retrieve information from Penpot MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays a list of projects without modifying, deleting, executing code, or creating any side effects. It is a straightforward query operation with minimal risk—exposing a project list could have low information disclosure impact but does not enable destructive or operational actions.
From the tool's definition Tool name 'list_projects' and description 'List all Penpot projects' indicate a data retrieval operation with no side effects. The verb 'list' is characteristic of Read operations that query and return existing data.
Documented attack patterns abuse exactly the kind of access list_projects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Penpot MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_projects:
{
"version": "1",
"default": "deny",
"tools": {
"list_projects": {}
}
}list_projects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all Penpot projects. It is categorised as a Read tool in the Penpot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Penpot MCP Server MCP server in PolicyLayer and add a rule for list_projects: 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 Penpot MCP Server. Nothing to install.
list_projects 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 list_projects 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 list_projects. 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.
list_projects is provided by the Penpot MCP Server MCP server (montevive/penpot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Penpot MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Penpot MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.