save_claude_insight

THE RISK

Medium Risk

Why save_claude_insight needs a policy

The primary function is to persistently store insights, which is a create/write action. While not destructive (data is not irreversibly deleted), and not Execute (no arbitrary code execution), this tool modifies state by adding records to an intelligent memory system.

From the tool's definition Tool name 'save_claude_insight' and description 'Save particularly valuable insights from Claude' indicate the tool creates or stores data.

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

POLICY

How to control save_claude_insight

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

policy.json

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

save_claude_insight 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.

Create a free account and register SAM — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about save_claude_insight

What does the save_claude_insight tool do? +

Save particularly valuable insights from Claude. It is categorised as a Write tool in the SAM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_claude_insight? +

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

What risk level is save_claude_insight? +

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

Can I rate-limit save_claude_insight? +

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

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

save_claude_insight is provided by the SAM MCP server (pigrieco/mcp-memory-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SAM tool call.

Start from SAM, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →