Low Risk

context_status

Get current context status and statistics

How to control context_status ↓

What context_status does on MCP Memory Keeper

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

Low Risk

Why context_status needs a policy

This tool retrieves and queries context metadata and statistics without modifying, deleting, or executing any operations. It falls clearly into the Read category as it has no capability to alter state, delete data, or trigger external operations. The severity is low because retrieving status information poses minimal risk even if misused by an AI agent.

From the tool's definition Tool name 'context_status' and description 'Get current context status and statistics' indicate a retrieval operation. The verb 'Get' and the nature of returning status/statistics data confirm this is a read-only query with no side effects.

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

How to control context_status

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

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

context_status 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 MCP Memory Keeper — 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 context_status

What does the context_status tool do? +

Get current context status and statistics. It is categorised as a Read tool in the MCP Memory Keeper MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on context_status? +

Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_status: 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 MCP Memory Keeper. Nothing to install.

What risk level is context_status? +

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

Can I rate-limit context_status? +

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

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

context_status is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Memory Keeper tool call.

Start from MCP Memory Keeper, 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.

40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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