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DansPK

Kali MCP

by DansPK

impacket

Run Windows/AD post-exploitation tasks: dump credentials, execute commands remotely, and perform Kerberos attacks using a modular Python toolkit.

Instructions

Collection of Python tools for Windows network protocols. Includes secretsdump (dump credentials remotely), psexec (remote command execution), wmiexec (WMI shell), GetNPUsers (AS-REP roasting), GetUserSPNs (Kerberoasting), and many more. Use for post-exploitation Windows/AD operations when you have credentials. Output: varies by module — dumped hashes, command output, or shell access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optsNoModule-specific options (e.g. 'domain/user:password@target' for authenticated access)
moduleYesImpacket module (e.g. secretsdump, psexec, wmiexec, GetNPUsers, GetUserSPNs, samrdump)
targetYesTarget IP or hostname

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention that output varies by module and includes remote command execution and shell access, but it omits important operational traits such as potential for service creation, need for admin privileges, and risk of detection or impact on the target.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the tool's identity and examples, followed by a useful output note. It avoids filler, though it could be slightly more structured with explicit headings without harming conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a multi-module tool with no output schema and no annotations, the description covers the breadth of functionality and output variability, but it lacks per-module option construction, prerequisites, or caveats. It is adequate for basic selection but incomplete for reliably invoking all modules correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents all parameters, but the description adds meaningful semantics by explaining what each listed module does (e.g., 'secretsdump (dump credentials remotely)'). This helps an agent choose a valid module name, going beyond the generic schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies Impacket as a collection of Python tools for Windows/AD post-exploitation and enumerates several modules with their functions. This is specific enough to distinguish it from the sibling scanning and exploitation tools, though it does not explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Use for post-exploitation Windows/AD operations when you have credentials' sets a clear usage context and prerequisite. It does not name sibling tools to avoid or provide when-not-to-use conditions, but the context is sufficient for an agent to select it appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.