crewai_manage_memory · CrewAI MCP Orchestrator MCP

WHAT IT DOES

What crewai_manage_memory does on CrewAI MCP Orchestrator

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

WHY IT NEEDS A POLICY

Why crewai_manage_memory needs a policy

With no description provided, classification relies on the tool name and server context. 'Manage' typically implies create, update, or modify operations on memory structures used by the multi-agent system. This is a Write action because it reversibly modifies agent memory state rather than permanently destroying it.

From the tool's definition Tool name 'crewai_manage_memory' combined with context that this is a CrewAI orchestrator providing tools to 'dynamically generate, edit, test, and execute multi-agent systems.' The 'manage' verb suggests modification operations on agent memory state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

crewai_manage_memory Rate-limited

crewai_manage_memory 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": {
    "crewai_manage_memory": {
      "limits": [
        {
          "counter": "crewai_manage_memory_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 CrewAI MCP Orchestrator, so you can run agents against it safely.

FAQ

Questions about crewai_manage_memory

What does the crewai_manage_memory tool do? +

crewai_manage_memory. It is categorised as a Write tool in the CrewAI MCP Orchestrator MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on crewai_manage_memory? +

Register the CrewAI MCP Orchestrator MCP server in PolicyLayer and add a rule for crewai_manage_memory: 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 CrewAI MCP Orchestrator. Nothing to install.

What risk level is crewai_manage_memory? +

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

Can I rate-limit crewai_manage_memory? +

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

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

crewai_manage_memory is provided by the CrewAI MCP Orchestrator MCP server (ssolis-ti/crewai-mcp-hq). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.