Get personalized product recommendations. Specify occasion, food pairing (uses Alko official pairing data), price range, or preferences (organic, vegan). Supports 33 food categories.
AI agents call get_recommendations to retrieve information from Alko MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure recommendation/query tool that retrieves and filters existing product data based on user preferences. It has no side effects—it does not modify inventory, process payments, execute external commands, or delete data. It simply searches and returns curated results from the product catalog, making it a Read operation with low severity risk.
From the tool's definition Tool provides 'personalized product recommendations' based on input parameters (occasion, food pairing, price range, preferences). The description indicates this returns recommendations without modifying data, creating orders, or triggering transactions.
Documented attack patterns abuse exactly the kind of access get_recommendations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Alko MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_recommendations:
{
"version": "1",
"default": "deny",
"tools": {
"get_recommendations": {}
}
}get_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get personalized product recommendations. Specify occasion, food pairing (uses Alko official pairing data), price range, or preferences (organic, vegan). Supports 33 food categories. It is categorised as a Read tool in the Alko MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Alko MCP Server MCP server in PolicyLayer and add a rule for get_recommendations: 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 Alko MCP Server. Nothing to install.
get_recommendations 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 get_recommendations 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 get_recommendations. 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.
get_recommendations is provided by the Alko MCP Server MCP server (markusl/alko-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Alko MCP Server, 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.
9 Alko MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.