Hashcat MCP Server
Enables AI assistants to perform password hash auditing locally via Hashcat, with automatic attack escalation and plain-English results.
README
Hashcat MCP Server
An AI-powered password hash auditing assistant that combines a local LLM with Hashcat through the Model Context Protocol (MCP).
Built for authorized security audits — the LLM autonomously identifies hash types, selects attack strategies, escalates through multiple approaches, and reports results in plain English. All processing is local — no data leaves your machine.
Architecture
User (natural language)
↓
Local LLM — qwen2.5 via Ollama
(decides which tools to call and with what arguments)
↓
MCP Client — bridges LLM decisions to real tool execution
↓
MCP Server — exposes Hashcat as structured tools
↓
Hashcat — performs actual password recovery
↓
Results logged to results/session_log.json
Tools
| Tool | Description |
|---|---|
identify_hash |
Identifies hash algorithm from format/length (MD5, NTLM, SHA-1, bcrypt etc.) |
list_wordlists |
Lists available wordlists and rule files on the system |
run_hashcat |
Cracks a single hash with configurable attack mode and wordlist |
crack_batch |
Cracks multiple hashes from a file with automatic escalation |
Attack Escalation (automatic)
The LLM follows this sequence for every hash automatically:
- Dictionary attack —
10k-commonwordlist - Rule-based attack —
100k-ncsc+best66.rule - Hybrid attack —
100k-ncsc+ 4-digit mask (?d?d?d?d) - Larger wordlist —
000webhost
Stack
| Component | Version | Purpose |
|---|---|---|
| Hashcat | v7.1.2 | Password recovery engine |
| Ollama | latest | Local LLM runtime |
| qwen2.5 | 7B | Tool-calling capable LLM |
| FastMCP (Python) | latest | MCP server framework |
| WSL2 Ubuntu | 24.x | Linux environment on Windows |
Setup
Prerequisites
- Windows with WSL2 + Ubuntu
- Ollama installed (
curl -fsSL https://ollama.com/install.sh | sh) - Hashcat installed (
sudo apt install hashcat) - SecLists cloned (
git clone --depth 1 https://github.com/danielmiessler/SecLists.git ~/SecLists)
Install
git clone https://github.com/YOUR_USERNAME/hashcat-mcp.git
cd hashcat-mcp
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
Pull the LLM
ollama pull qwen2.5:latest
Usage
Start the assistant
cd hashcat-mcp
source venv/bin/activate
python3 mcp_client.py
Crack a single hash
You: crack this hash: 482c811da5d5b4bc6d497ffa98491e38
Assistant: [calls identify_hash → MD5 identified]
[calls run_hashcat → password123 found]
The password is: password123
Crack a batch file
Create a file with one hash per line, or username:hash format:
admin:e90664c0af74160644d29e4d6147969b
user1:5f4dcc3b5aa765d61d8327deb882cf99
482c811da5d5b4bc6d497ffa98491e38
Then ask:
You: crack all hashes in /home/user/hashes.txt — they are MD5
Output:
==================================================
BATCH CRACK SUMMARY
==================================================
Total hashes: 3
Cracked: 3 (100.0%)
Not cracked: 0
==================================================
RESULTS:
✓ admin → Summer2024
✓ user1 → password
✓ (hash) → password123
==================================================
Full results saved to: results/session_log.json
Session Logging
Every crack attempt is automatically logged to results/session_log.json:
{
"timestamp": "2026-08-19T19:33:27.932857",
"username": "admin",
"hash": "e90664c0af74160644d29e4d6147969b",
"hash_mode": 0,
"cracked": true,
"password": "Summer2024",
"attack_used": "mode 6 wordlist=100k-ncsc mask=?d?d?d?d"
}
Supported Hash Types
| Algorithm | Hashcat Mode | Example Format |
|---|---|---|
| MD5 | -m 0 |
482c811da5d5b4bc6d497ffa98491e38 |
| NTLM | -m 1000 |
cc36cf7aa9dc7f2d2c2c43f877c32b0c |
| SHA-1 | -m 100 |
cbfdac6008f9cab4083784cbd1874f76618d2a97 |
| SHA-256 | -m 1400 |
ef92b779... (64 chars) |
| bcrypt | -m 3200 |
$2a$10$... |
| sha512crypt | -m 1800 |
$6$... |
Security & Ethics
This tool is designed exclusively for authorized password security audits:
- Testing organizational password strength against real-world attack methods
- Identifying weak passwords before attackers do
- Generating evidence for security policy enforcement
Never use this tool on hashes you do not have explicit authorization to audit.
Project Structure
hashcat-mcp/
├── mcp_server.py # MCP server — exposes Hashcat as tools
├── mcp_client.py # MCP client — connects LLM to server
├── prompts/
│ └── system_prompt.txt # LLM behavior instructions
├── hashes/ # Hash files for testing
├── results/
│ └── session_log.json # Automatic audit log
└── requirements.txt
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