Low Risk

kage_inbox

Return an actionable memory review inbox: pending packets, stale packets, duplicates, missing structured context, validation issues, and recommended actions.

How to control kage_inbox ↓

What kage_inbox does on Kage

AI agents call kage_inbox to retrieve information from Kage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why kage_inbox needs a policy

The tool retrieves and returns a review inbox of memory packets with their status and recommended actions. It reads/queries existing memory data and surfaces issues for review without modifying, deleting, or executing anything. The word 'Return' confirms it is a read-only operation.

From the tool's definition Return an actionable memory review inbox: pending packets, stale packets, duplicates, missing structured context, validation issues, and recommended actions.

Documented attack patterns abuse exactly the kind of access kage_inbox gives an agent:

How to control kage_inbox

PolicyLayer is an MCP gateway — it sits between your AI agents and Kage, and nothing reaches the server without passing your rules. This is the rule we recommend for kage_inbox:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "kage_inbox": {}
  }
}

kage_inbox is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Kage — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Related tools and policies

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Questions about kage_inbox

What does the kage_inbox tool do? +

Return an actionable memory review inbox: pending packets, stale packets, duplicates, missing structured context, validation issues, and recommended actions. It is categorised as a Read tool in the Kage MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kage_inbox? +

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

What risk level is kage_inbox? +

kage_inbox is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit kage_inbox? +

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

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

kage_inbox is provided by the Kage MCP server (@kage-core/kage-graph-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kage tool call.

Start from Kage, 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.

62 Kage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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