High Risk →

context_delegate

Delegate complex analysis tasks to specialized agents

How to control context_delegate ↓

What context_delegate does on MCP Memory Keeper

AI agents invoke context_delegate to trigger actions in MCP Memory Keeper. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why context_delegate needs a policy

The tool delegates tasks to 'specialized agents', which implies triggering external operations or spawning agent processes. This is an Execute-category action since it runs or dispatches operations to other agents whose effects depend on the arguments provided.

From the tool's definition Delegate complex analysis tasks to specialized agents

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

How to control context_delegate

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_delegate:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "context_delegate": {
      "limits": [
        {
          "counter": "context_delegate_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

context_delegate stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about context_delegate

What does the context_delegate tool do? +

Delegate complex analysis tasks to specialized agents. It is categorised as a Execute tool in the MCP Memory Keeper MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on context_delegate? +

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

context_delegate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit context_delegate? +

Yes. Add a rate_limit block to the context_delegate 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_delegate completely? +

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

context_delegate 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.

Free to start. No card required.

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

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