api_kiterunner_scan
Scan API endpoints using Kiterunner for route discovery.
This record as markdown: /tools/zebbern-zebbern-kali-mcp/api-kiterunner-scan.md
What api_kiterunner_scan does on Zebbern Kali MCP
AI agents invoke api_kiterunner_scan to trigger actions in Zebbern Kali MCP. 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.
Why api_kiterunner_scan is rated High
This tool executes an active network scan against API endpoints using the Kiterunner penetration testing tool. It initiates outbound network connections and performs route discovery against target systems, which constitutes execution of an external operation. Within a Kali Linux pentest toolkit context alongside tools like secretsdump, psexec, and bloodhound, this is clearly an offensive reconnaissance tool.
From the tool's definition 'Scan API endpoints using Kiterunner for route discovery' — actively runs the Kiterunner tool against target API endpoints to discover routes
Attacks that exploit this kind of access
The rule that runs api_kiterunner_scan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Zebbern Kali MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For api_kiterunner_scan, this is the rule to start with:
api_kiterunner_scan 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Zebbern Kali MCP, apply this rule, and every api_kiterunner_scan call is checked against it from then on.
Questions about api_kiterunner_scan
Scan API endpoints using Kiterunner for route discovery. It is categorised as a Execute tool in the Zebbern Kali MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Zebbern Kali MCP server in PolicyLayer and add a rule for api_kiterunner_scan: 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 Zebbern Kali MCP. Nothing to install.
api_kiterunner_scan is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the api_kiterunner_scan 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.
Set action: deny in the PolicyLayer policy for api_kiterunner_scan. 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.
api_kiterunner_scan is provided by the Zebbern Kali MCP server (zebbern/zebbern-kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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