List all available AI models and their configuration status
AI agents call list-ai-models to retrieve information from Ultra MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about available models and their configurations. It performs no writes, executions, deletions, or financial transactions. The action is purely informational (list/fetch pattern), making it a Read category tool with low severity because disclosure of model availability and configuration is generally non-sensitive and cannot be weaponized to cause harm.
From the tool's definition Tool description explicitly states "List all available AI models and their configuration status" — a retrieval operation with no mutation or side effects.
Documented attack patterns abuse exactly the kind of access list-ai-models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ultra MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list-ai-models:
{
"version": "1",
"default": "deny",
"tools": {
"list-ai-models": {}
}
}list-ai-models 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 available AI models and their configuration status. It is categorised as a Read tool in the Ultra MCP MCP Server, which means it retrieves data without modifying state.
Register the Ultra MCP server in PolicyLayer and add a rule for list-ai-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 Ultra MCP. Nothing to install.
list-ai-models 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-ai-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.
Set action: deny in the PolicyLayer policy for list-ai-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.
list-ai-models is provided by the Ultra MCP server (realmikechong/ultra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Ultra MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
30 Ultra MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.