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execute_kb_api

Execute a custom API request for Kibana with multi-space support

Risk signalsAccepts file system path (path) · Accepts raw HTML/template content (body)

Part of the Kibana server.

execute_kb_api can trigger actions in Kibana, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke execute_kb_api to trigger processes or run actions in Kibana. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_kb_api can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

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

See the full Kibana policy for all 16 tools.

Get this rule live on your own Kibana server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 16 tools →

These attack patterns abuse exactly the kind of access execute_kb_api gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so execute_kb_api only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the execute_kb_api tool do? +

Execute a custom API request for Kibana with multi-space support. It is categorised as a Execute tool in the Kibana MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_kb_api? +

Register the Kibana MCP server in PolicyLayer and add a rule for execute_kb_api: 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 Kibana. Nothing to install.

What risk level is execute_kb_api? +

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

Can I rate-limit execute_kb_api? +

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

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

execute_kb_api is provided by the Kibana MCP server (TocharianOU/mcp-server-kibana). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kibana tool call.

Deterministic rules across all 16 Kibana tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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