AI agents call export_model_summary to retrieve information from PyPSA MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and exports a read-only summary of an existing energy model. It does not modify, delete, or execute anything — it simply collects and presents model information. 'Export' here means generating a report/summary output, not modifying state. Severity is low as misuse would only expose model data.
From the tool's definition Export a comprehensive summary of the model
Documented attack patterns abuse exactly the kind of access export_model_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PyPSA MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for export_model_summary:
{
"version": "1",
"default": "deny",
"tools": {
"export_model_summary": {}
}
}export_model_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Export a comprehensive summary of the model. It is categorised as a Read tool in the PyPSA MCP MCP Server, which means it retrieves data without modifying state.
Register the PyPSA MCP server in PolicyLayer and add a rule for export_model_summary: 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 PyPSA MCP. Nothing to install.
export_model_summary 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_model_summary 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_model_summary. 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_model_summary is provided by the PyPSA MCP server (open-energy-transition/pypsa-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 PyPSA MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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22 PyPSA MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.