Kali MCP
Config-driven MCP server that exposes Kali Linux penetration testing tools to AI agents, with automatic tool discovery, man page integration, and local/remote execution modes.
README
Kali MCP
Config-driven Model Context Protocol server that exposes Kali Linux tools to AI agents (Cursor, Claude Desktop, etc.) using declarative JSON configuration — similar to how Data API Builder (DAB) loads SQL Server entities from dab-config.json.
Built for the UMSS Diplomado en Ciberseguridad monografía: Pruebas de penetración asistidas por agente de inteligencia artificial al portal web de la FCAPyF.
Key idea
| DAB (C#) | Kali MCP (Python) |
|---|---|
dab-config.json declares SQL entities |
kali-mcp.config.json declares CLI tools |
| Runtime exposes REST endpoints | Runtime exposes MCP tools |
| Schema from database metadata | Schema from JSON + man + --version |
You declare which tools exist in JSON. At startup (or on demand), the server enriches each tool with:
- Man page synopsis, description, and option summary (
manon the Kali host) - Installed version (
--version,-V, etc.) - Binary path (
which)
No hardcoded per-tool Python endpoints — add nikto, wpscan, or zap by editing the config file.
Architecture
Local mode (MCP and tools on same Kali host)
flowchart LR
A[Cursor / MCP Client] -->|stdio| B[kali_mcp server]
B --> C[config/kali-mcp.config.json]
B --> D[man introspection]
B --> E[version probe]
B --> F[subprocess executor]
D --> F
E --> F
F --> G[Kali Linux binaries]
Remote mode (Cursor on Windows -> Kali VM)
flowchart LR
W[Cursor on Windows] -->|stdio| M[kali_mcp --remote]
M -->|HTTP| A[Kali API server]
A --> C[config/kali-mcp.config.json]
A --> D[man + version on Kali]
A --> E[subprocess executor]
E --> G[Kali Linux binaries]
Recommended: SSH tunnel so the API stays bound to 127.0.0.1 on Kali.
Quick start (Kali Linux VM)
cd kali-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# Option A: MCP server locally on Kali (Cursor also on Kali)
python -m kali_mcp --config config/kali-mcp.config.json
# Option B: HTTP API for remote Windows clients
python -m kali_mcp.api --config config/kali-mcp.config.json --host 127.0.0.1 --port 5000
Windows -> Kali setup (recommended)
1. Start API on Kali
cd kali-mcp
source .venv/bin/activate
python -m kali_mcp.api --config config/kali-mcp.config.json --host 127.0.0.1 --port 5000
2. Open SSH tunnel from Windows
ssh -L 5000:127.0.0.1:5000 user@KALI_IP
Keep this terminal open. Traffic to localhost:5000 on Windows is forwarded to Kali.
3. Configure Cursor on Windows
Use cursor-mcp.remote.example.json:
{
"mcpServers": {
"kali-mcp-remote": {
"command": "python",
"args": [
"-m",
"kali_mcp",
"--config",
"F:/diplo/trabajo-final/kali-mcp/config/kali-mcp.config.json",
"--remote",
"http://127.0.0.1:5000"
]
}
}
}
Install deps on Windows too:
cd F:\diplo\trabajo-final\kali-mcp
python -m venv .venv
.venv\Scripts\pip install -r requirements.txt
Point Cursor's command to .venv\Scripts\python.exe if needed.
Verify connectivity
curl http://127.0.0.1:5000/health
You should see JSON with status: healthy and the tool count from Kali.
Quick start (local MCP on Kali only)
cd kali-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# Start MCP server (stdio) with default config
python -m kali_mcp --config config/kali-mcp.config.json
Cursor configuration
Copy cursor-mcp.example.json into your Cursor MCP settings and adjust the --config path:
{
"mcpServers": {
"kali-mcp": {
"command": "python",
"args": [
"-m",
"kali_mcp",
"--config",
"/absolute/path/to/kali-mcp/config/kali-mcp.config.json"
]
}
}
}
Run the server on the Kali VM where the tools are installed, or use remote mode with the API server + SSH tunnel when Cursor runs on Windows.
Configuration
See config/kali-mcp.config.json for the FCAPyF pentest toolset:
| Tool | Binary | PTES phase |
|---|---|---|
nmap_scan |
nmap | Reconnaissance |
whatweb_fingerprint |
whatweb | Reconnaissance |
sslscan_probe |
sslscan | Vulnerability analysis |
nikto_scan |
nikto | Vulnerability analysis |
wpscan_analyze |
wpscan | Vulnerability analysis |
gobuster_scan |
gobuster | Vulnerability analysis |
curl_request |
curl | Exploitation / validation |
run_command |
bash | Fallback utility |
Adding a tool (DAB-style)
Add an entry to the tools array — no Python changes required:
{
"name": "ffuf_fuzz",
"binary": "ffuf",
"category": "web",
"description": "Fast web fuzzer",
"parameters": [
{
"name": "url",
"description": "Target URL with FUZZ keyword",
"type": "string",
"required": true,
"flag": "-u",
"argStyle": "kv"
},
{
"name": "wordlist",
"description": "Wordlist path",
"type": "string",
"default": "/usr/share/wordlists/dirb/common.txt",
"flag": "-w",
"argStyle": "kv"
}
]
}
Restart the MCP server (or call reload_tool_metadata) to pick up config changes.
Parameter argStyle
| Style | Behavior | Example |
|---|---|---|
kv |
Flag + value | -h, target → -h target |
flag |
Boolean flag | -i when true |
positional |
Positional arg | nmap 10.0.0.1 |
append |
Raw tokens appended | -sV -sC |
Every tool also accepts additional_args (unless disabled) for extra CLI flags as a single string.
Auto-discover installed tools (generate JSON)
Run on Kali Linux to scan installed binaries and build kali-mcp.config.json automatically. Discovery uses:
- Curated catalog — common pentest tools checked via
which dpkg-query— binaries from installed Kali packagesman -kscan (optional) — broader keyword-based discoverymanintrospection — descriptions and parameter hints at generation time
CLI (on Kali)
# Generate a fresh config from everything installed
python -m kali_mcp.discover --pretty
# Write to a specific file
python -m kali_mcp.discover -o config/kali-mcp.generated.json
# Only web + recon tools
python -m kali_mcp.discover --category web,reconnaissance
# Merge new tools into your existing config (skip duplicates by binary)
python -m kali_mcp.discover --merge config/kali-mcp.config.json -o config/kali-mcp.config.json
# Print JSON to stdout
python -m kali_mcp.discover --stdout --pretty
From Windows (via remote API on Kali)
curl -X POST http://127.0.0.1:5000/api/config/discover `
-H "Content-Type: application/json" `
-d "{\"categories\":[\"web\",\"reconnaissance\"]}"
Or ask the MCP agent to call generate_config_from_installed_tools — in remote mode this delegates to Kali.
Discovery CLI options
python -m kali_mcp.discover --help
-o, --output PATH Output JSON path
--stdout Print JSON to stdout
--merge CONFIG Merge into existing config
--category LIST Comma-separated categories
--no-dpkg Skip dpkg-based discovery
--man-scan Include man -k keyword scan
--man-scan-limit N Max tools from man scan
--pretty Print discovery summary JSON
Built-in meta tools
| MCP tool | Purpose |
|---|---|
list_configured_tools |
Inventory from JSON + install/version status |
get_tool_documentation |
Full man metadata + configured parameters |
reload_tool_metadata |
Refresh man/version cache |
generate_config_from_installed_tools |
Auto-build JSON config from installed Kali tools |
CLI options
MCP server (python -m kali_mcp)
python -m kali_mcp --help
--config PATH Path to kali-mcp.config.json
--remote URL Kali API URL for Windows->Kali remote mode
--timeout SECS HTTP timeout when using --remote (default: 300)
--debug Verbose logging
--no-warm-cache Skip man/version pre-load at startup
API server (python -m kali_mcp.api)
python -m kali_mcp.api --help
--config PATH Path to kali-mcp.config.json
--host ADDR Bind address (default: 127.0.0.1)
--port PORT Bind port (default: 5000)
--debug Flask debug mode
--no-warm-cache Skip man/version pre-load at startup
Bind to 0.0.0.0 only if you accept direct network exposure (not recommended; prefer SSH tunnel).
Comparison with example-mcp
The reference MCP-Kali-Server project hardcodes Flask routes and MCP tool wrappers per utility. Kali MCP generalizes that pattern:
- Before: one Python function per tool (
nmap(),nikto(), …) - After: one registry loads N tools from JSON, enriches from
man, executes via argv (no shell)
Security
- Commands run with
shell=False(argv list only) - Safety instructions are injected into MCP server context
run_commandis a last-resort escape hatch — prefer dedicated tool entries- Only use against targets you are authorized to test
License
MIT — see LICENSE.
Disclaimer
For authorized security testing and academic research only.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.