Medium Risk

context_journal_entry

Add a timestamped journal entry with optional tags and mood

How to control context_journal_entry ↓

What context_journal_entry does on MCP Memory Keeper

AI agents use context_journal_entry 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_journal_entry needs a policy

This tool creates new journal entries in the persistent context system. It does not read-only, execute arbitrary code, delete data, or involve financial transactions. The operation is reversible—entries can be modified or removed later.

From the tool's definition Tool name 'context_journal_entry' and description 'Add a timestamped journal entry with optional tags and mood' indicate creation of new data entries.

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

How to control context_journal_entry

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_journal_entry:

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

context_journal_entry 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_journal_entry

What does the context_journal_entry tool do? +

Add a timestamped journal entry with optional tags and mood. 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_journal_entry? +

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

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

Can I rate-limit context_journal_entry? +

Yes. Add a rate_limit block to the context_journal_entry 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_journal_entry completely? +

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

context_journal_entry 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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