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callback_start

A execute tool on the Zebbern Kali MCP server.

SERVERZebbern Kali MCP SOURCEzebbern/zebbern-kali-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/zebbern-zebbern-kali-mcp/callback-start.md

What callback_start does on Zebbern Kali MCP

AI agents invoke callback_start 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 callback_start is rated High

The tool operates in a Kali Linux MCP server context alongside attack tools (ad_psexec, ad_wmiexec, ad_secretsdump, etc.), strongly suggesting it executes offensive operations. 'Callback' in penetration testing nomenclature typically means establishing a reverse shell or remote command execution channel—a classic Execute behavior.

From the tool's definition Tool named 'callback_start' with no description, operating within a Kali Linux penetration testing toolkit server that provides direct access to offensive security tools.

Questions about callback_start

What does the callback_start tool do? +

callback_start is a execute tool on the Zebbern Kali MCP server. 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.

How do I enforce a policy on callback_start? +

Register the Zebbern Kali MCP server in PolicyLayer and add a rule for callback_start: 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.

What risk level is callback_start? +

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

Can I rate-limit callback_start? +

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

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

callback_start 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.

More on Zebbern Kali, and thousands of servers like it.

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