memory_save

メモリを保存する。カテゴリ: - config: API URL、ポート、認証情報などの設定 - dont: やってはいけないこと、過去のミス、ユーザーが怒ったこと、AIのリトライパターン - decision: 決定事項、採用した方針 - log: 実装したこと、解決したエラー - snippet: よく使うコマンド、クエリ、便利スクリプト titleには検索しやすい具体的な名詞を含めること。

Server Wasurenagusa tsutushi0628/wasurenagusa-mcp

Category Write

Risk class Medium

Parameters 00 required

WHAT IT DOES

What memory_save does on Wasurenagusa

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

WHY IT NEEDS A POLICY

Why memory_save needs a policy

This tool creates or modifies persistent memory records in the system. While it stores configuration data (including credentials) and project decisions, it is Write-category because it creates/updates data reversibly—memory can be deleted (evidenced by sibling tool 'memory_delete') or overwritten.

From the tool's definition Tool description explicitly states it 'saves' memory with categories including 'config' (API URLs, authentication credentials), 'decision', 'log', and 'snippet'.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_save Rate-limited

memory_save 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_save": {
      "limits": [
        {
          "counter": "memory_save_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Wasurenagusa, so you can run agents against it safely.

FAQ

Questions about memory_save

What does the memory_save tool do? +

How do I enforce a policy on memory_save? +

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

What risk level is memory_save? +

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

Can I rate-limit memory_save? +

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

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

memory_save is provided by the Wasurenagusa MCP server (tsutushi0628/wasurenagusa-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.