Get all favorite recipes for the current user.
AI agents call mealie_recipes_get_favorites to retrieve information from Mealie MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user preference data (favorite recipes) without creating, modifying, deleting, or executing any operations. It is a simple read-only query of existing data specific to the authenticated user, making it a Read category tool with minimal security risk.
From the tool's definition Tool name 'mealie_recipes_get_favorites' and description 'Get all favorite recipes for the current user' indicate a retrieval operation with no modification, deletion, or execution of external processes.
Attacks that exploit this kind of access
Get all favorite recipes for the current user. It is categorised as a Read tool in the Mealie MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Mealie MCP Server MCP server in PolicyLayer and add a rule for mealie_recipes_get_favorites: 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 Mealie MCP Server. Nothing to install.
mealie_recipes_get_favorites 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 mealie_recipes_get_favorites 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 mealie_recipes_get_favorites. 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.
mealie_recipes_get_favorites is provided by the Mealie MCP Server MCP server (mdlopresti/mealie-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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