Low Risk

list_models

List all currently available PyPSA models.

How to control list_models ↓

AI agents call list_models 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.

Low Risk

This tool queries and returns information about existing models without creating, modifying, deleting, or executing any operations. It is a simple enumeration function typical of Read category tools.

From the tool's definition Tool name 'list_models' and description 'List all currently available PyPSA models' indicate a retrieval operation with no side effects.

Documented attack patterns abuse exactly the kind of access list_models 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 list_models:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_models": {}
  }
}

list_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register PyPSA MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the list_models tool do? +

List all currently available PyPSA models. It is categorised as a Read tool in the PyPSA MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_models? +

Register the PyPSA MCP server in PolicyLayer and add a rule for list_models: 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.

What risk level is list_models? +

list_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_models? +

Yes. Add a rate_limit block to the list_models 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.

How do I block list_models completely? +

Set action: deny in the PolicyLayer policy for list_models. 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.

What MCP server provides list_models? +

list_models 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.

Enforce policy on every PyPSA MCP tool call.

Deterministic rules across all 22 PyPSA MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

22 PyPSA MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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