AI agents call header_analysis to retrieve information from Kali MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and examines HTTP header data to identify potential security issues. It is a passive analysis function that reads existing data without side effects, making it a Read category tool. The severity is low because analyzing headers poses minimal risk even if misused; it provides information without the ability to modify systems, execute arbitrary code, or access sensitive credentials.
From the tool's definition The tool is described as 'Analyze HTTP headers for security issues' — it performs analysis and inspection of HTTP headers without modifying them, executing code, or causing destructive effects.
Documented attack patterns abuse exactly the kind of access header_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for header_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"header_analysis": {}
}
}header_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze HTTP headers for security issues. It is categorised as a Read tool in the Kali MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Kali MCP Server MCP server in PolicyLayer and add a rule for header_analysis: 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 Kali MCP Server. Nothing to install.
header_analysis is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the header_analysis 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 header_analysis. 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.
header_analysis is provided by the Kali MCP Server MCP server (k3nn3dy-ai/kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kali MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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36 Kali MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.