Low Risk

kage_sessions

Summarize local agent observation sessions, durable capture candidates, and next distillation actions without exposing raw transcript replay.

How to control kage_sessions ↓

What kage_sessions does on Kage

AI agents call kage_sessions 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_sessions needs a policy

The tool retrieves and summarizes existing session data and candidates without modifying, creating, or deleting anything. It is a read/query operation with no side effects. Severity is low because it only surfaces summaries of local sessions.

From the tool's definition Summarize local agent observation sessions, durable capture candidates, and next distillation actions without exposing raw transcript replay

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

How to control kage_sessions

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_sessions:

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

kage_sessions 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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Related tools and policies

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Questions about kage_sessions

What does the kage_sessions tool do? +

Summarize local agent observation sessions, durable capture candidates, and next distillation actions without exposing raw transcript replay. 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_sessions? +

Register the Kage MCP server in PolicyLayer and add a rule for kage_sessions: 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_sessions? +

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

Can I rate-limit kage_sessions? +

Yes. Add a rate_limit block to the kage_sessions 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_sessions completely? +

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

kage_sessions 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.

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

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