memory_favorite

Star and/or rate a technique (rating 0-5).

SERVERLivepilot SOURCElivepilot

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dreamrec-livepilot/memory-favorite.md

WHAT IT DOES

What memory_favorite does on Livepilot

AI agents use memory_favorite to create or update resources in Livepilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Livepilot environment.

RISK

Why memory_favorite is rated Medium

This tool modifies stored data by starring and/or rating a technique — a reversible write operation with minimal blast radius since it only affects user preference metadata within the application.

From the tool's definition Star and/or rate a technique (rating 0-5)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs memory_favorite safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_favorite, this is the rule to start with:

memory_favorite Rate-limited

memory_favorite stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_favorite": {
      "limits": [
        {
          "counter": "memory_favorite_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Livepilot, apply this rule, and every memory_favorite call is checked against it from then on.

FAQ

Questions about memory_favorite

What does the memory_favorite tool do? +

Star and/or rate a technique (rating 0-5). It is categorised as a Write tool in the Livepilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_favorite? +

Register the Livepilot MCP server in PolicyLayer and add a rule for memory_favorite: 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 Livepilot. Nothing to install.

What risk level is memory_favorite? +

memory_favorite is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit memory_favorite? +

Yes. Add a rate_limit block to the memory_favorite 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 memory_favorite completely? +

Set action: deny in the PolicyLayer policy for memory_favorite. 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 memory_favorite? +

memory_favorite is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Livepilot, and thousands of servers like it.

This server

All 474 Livepilot tools →

Across the catalogue

team_manager_write_memory on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →