Medium Risk

context_prepare_compaction

Automatically save critical context before compaction

How to control context_prepare_compaction ↓

What context_prepare_compaction does on MCP Memory Keeper

AI agents use context_prepare_compaction to create or update resources in MCP Memory Keeper — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Memory Keeper environment.

Medium Risk

Why context_prepare_compaction needs a policy

This tool creates or modifies persisted context data by saving information before a compaction operation. It is reversible (saved context can be overwritten or deleted), so it does not fall into Destructive. It does not execute arbitrary code, move money, or trigger external side effects unpredictably—it performs a storage operation.

From the tool's definition Tool name and description indicate automatic saving of context data: 'Automatically save critical context before compaction'. The verb 'save' combined with 'critical context' suggests creating or persisting data.

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

How to control context_prepare_compaction

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_prepare_compaction:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "context_prepare_compaction": {
      "limits": [
        {
          "counter": "context_prepare_compaction_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

context_prepare_compaction stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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_prepare_compaction

What does the context_prepare_compaction tool do? +

Automatically save critical context before compaction. It is categorised as a Write tool in the MCP Memory Keeper MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on context_prepare_compaction? +

Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_prepare_compaction: 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_prepare_compaction? +

context_prepare_compaction is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit context_prepare_compaction? +

Yes. Add a rate_limit block to the context_prepare_compaction 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_prepare_compaction completely? +

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

context_prepare_compaction 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.

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

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