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SlanyCukr

Bug Bounty MCP Server

by SlanyCukr

select_tools

Selects optimal security testing tools based on target domain, IP, or URL and scan objectives like comprehensive, fast, stealth, or targeted assessments.

Instructions

AI-powered tool selection based on target profile.

Args: target: Target domain, IP, or URL objective: Scan objective (comprehensive, fast, stealth, targeted)

Returns: Optimized tool selection with recommendations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
objectiveNocomprehensive
targetYes

Implementation Reference

  • The handler function for the MCP tool 'select_tools'. It accepts target and objective parameters, logs the action, sends a POST request to the REST API intelligence endpoint for tool selection, and returns the result.
    def select_tools(target: str, objective: str = "comprehensive") -> dict[str, Any]:
        """AI-powered tool selection based on target profile.
    
        Args:
            target: Target domain, IP, or URL
            objective: Scan objective (comprehensive, fast, stealth, targeted)
    
        Returns:
            Optimized tool selection with recommendations
        """
        data = {"target": target, "objective": objective}
    
        logger.info(
            f"🔧 Selecting optimal tools for {target} with {objective} objective"
        )
        result = api_client.safe_post("api/intelligence/select-tools", data)
    
        if result.get("success"):
            logger.info(f"✅ Tool selection completed for {target}")
        else:
            logger.error(f"❌ Tool selection failed for {target}")
    
        return result
  • The @mcp.tool() decorator registers the select_tools function as an MCP tool.
    def select_tools(target: str, objective: str = "comprehensive") -> dict[str, Any]:
  • The docstring defines the input schema (parameters: target (str), objective (str, default='comprehensive')) and output (dict[str, Any]) for the tool.
    Args:
        target: Target domain, IP, or URL
        objective: Scan objective (comprehensive, fast, stealth, targeted)
    
    Returns:
        Optimized tool selection with recommendations
    """
    data = {"target": target, "objective": objective}

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