Medium Risk

create_entities

Create multiple new entities in the knowledge graph

How to control create_entities ↓

What create_entities does on Knowledge Graph Memory Server

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

Medium Risk

Why create_entities needs a policy

Creating entities in a knowledge graph adds new data to persistent memory but does not destroy, irreversibly modify, or execute arbitrary code. The operation is reversible (delete_entities exists as a sibling tool).

From the tool's definition Tool name 'create_entities' and description 'Create multiple new entities in the knowledge graph' indicate data creation in a persistent store.

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

How to control create_entities

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

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

create_entities 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 Knowledge Graph Memory Server — 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about create_entities

What does the create_entities tool do? +

Create multiple new entities in the knowledge graph. It is categorised as a Write tool in the Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_entities? +

Register the Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for create_entities: 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 Knowledge Graph Memory Server. Nothing to install.

What risk level is create_entities? +

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

Can I rate-limit create_entities? +

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

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

create_entities is provided by the Knowledge Graph Memory Server MCP server (itseasy21/mcp-knowledge-graph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Knowledge Graph Memory Server tool call.

Start from Knowledge Graph Memory Server, 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.

11 Knowledge Graph Memory Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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