List available GRAEAE muses (LLM providers + models).
AI agents call graeae.muses to retrieve information from Mnemos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward listing/querying operation with no side effects. It retrieves information about available LLM providers and models for informational purposes only. The action 'List' is explicitly read-only, and there is no capability to modify, delete, execute external operations, or commit financial transactions.
From the tool's definition Tool name 'graeae.muses' with description 'List available GRAEAE muses (LLM providers + models)' indicates a read-only query operation that retrieves configuration or metadata about available LLM providers and models.
Documented attack patterns abuse exactly the kind of access graeae.muses gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mnemos, and nothing reaches the server without passing your rules. This is the rule we recommend for graeae.muses:
{
"version": "1",
"default": "deny",
"tools": {
"graeae.muses": {}
}
}graeae.muses is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List available GRAEAE muses (LLM providers + models). It is categorised as a Read tool in the Mnemos MCP Server, which means it retrieves data without modifying state.
Register the Mnemos MCP server in PolicyLayer and add a rule for graeae.muses: 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 Mnemos. Nothing to install.
graeae.muses 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 graeae.muses 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 graeae.muses. 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.
graeae.muses is provided by the Mnemos MCP server (ncz-os/mnemos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mnemos, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
15 Mnemos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.