Low Risk

search_nodes

Search for nodes in the knowledge graph based on a query

How to control search_nodes ↓

What search_nodes does on Elasticsearch Knowledge Graph for MCP

AI agents call search_nodes to retrieve information from Elasticsearch Knowledge Graph for MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_nodes needs a policy

This tool retrieves or queries data from the knowledge graph without creating, modifying, or deleting any information. It is a read-only operation that returns results based on search criteria. No destructive, financial, or code execution capabilities are implied. The low severity reflects minimal risk if misused by an AI agent, as the worst outcome would be information disclosure of already-stored data.

From the tool's definition Tool name is 'search_nodes' and description states 'Search for nodes in the knowledge graph based on a query'. The verb 'search' indicates a retrieval operation with no modification or side effects.

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

How to control search_nodes

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

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

search_nodes 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 Elasticsearch Knowledge Graph for MCP — 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 search_nodes

What does the search_nodes tool do? +

Search for nodes in the knowledge graph based on a query. It is categorised as a Read tool in the Elasticsearch Knowledge Graph for MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_nodes? +

Register the Elasticsearch Knowledge Graph for MCP server in PolicyLayer and add a rule for search_nodes: 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 Elasticsearch Knowledge Graph for MCP. Nothing to install.

What risk level is search_nodes? +

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

Can I rate-limit search_nodes? +

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

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

search_nodes is provided by the Elasticsearch Knowledge Graph for MCP server (j3k0/mcp-brain-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Elasticsearch Knowledge Graph for MCP tool call.

Start from Elasticsearch Knowledge Graph for MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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23 Elasticsearch Knowledge Graph for MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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