Low Risk

kg_edges

Unified tool for relationship operations. Supports:

How to control kg_edges ↓

What kg_edges does on Personal Kg

AI agents call kg_edges to retrieve information from Personal Kg without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why kg_edges needs a policy

The tool operates on a knowledge graph's edges (relationships between nodes). Without explicit evidence of creation, modification, or deletion capabilities in the provided description, and given the read-oriented sibling tools in the ecosystem, this appears to be a relationship query/retrieval mechanism.

From the tool's definition Tool name 'kg_edges' and description referencing 'relationship operations' on a knowledge graph server indicates querying or retrieving relationship/edge data.

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

How to control kg_edges

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "kg_edges": {}
  }
}

kg_edges is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Personal Kg — 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.
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Related tools and policies

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Questions about kg_edges

What does the kg_edges tool do? +

Unified tool for relationship operations. Supports:. It is categorised as a Read tool in the Personal Kg MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kg_edges? +

Register the Personal Kg MCP server in PolicyLayer and add a rule for kg_edges: 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 Personal Kg. Nothing to install.

What risk level is kg_edges? +

kg_edges is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit kg_edges? +

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

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

kg_edges is provided by the Personal Kg MCP server (tomschell/personal-kg-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Personal Kg tool call.

Start from Personal Kg, 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.

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