Red-team-mcp
An MCP server for red teaming that enables AI agents to perform port scanning, vulnerability scanning, SSH operations, and Metasploit exploitation through a unified interface.
README
Red-team-mcp
An MCP (Model Context Protocol) server for AI agents to use during red teaming exercises.
Overview
This server provides resources and tools for AI agents to access during red teaming scenarios. It implements the Model Context Protocol to allow AI agents to retrieve information, access tools, and perform actions needed for security testing and evaluation.
Architecture
graph TD
Agent[AI Agent Client] <--> |MCP Protocol| Server[FastMCP Server]
subgraph "MCP Server Components"
Server --> PortScanner[Port Scanner Module]
Server --> VulnScanner[Vulnerability Scanner Module]
Server --> SSHTools[SSH Tools Module]
Server --> Metasploit[Metasploit Integration]
Server --> DomainDiscovery[Domain Discovery Module]
Server <--> Database[(MongoDB Database)]
end
subgraph "External Tools"
PortScanner --> Masscan[masscan]
VulnScanner --> Nuclei[nuclei]
SSHTools --> SSH[SSH Client]
Metasploit --> MSFRPC[Metasploit RPC]
DomainDiscovery --> Subfinder[subfinder]
end
Database --> Findings[Findings]
Components
1. Port Scanner
- Integrates with masscan for high-speed port scanning
- Allows AI agents to discover open ports and services on target networks
- Configurable scan parameters (IP ranges, port ranges, scan rate)
- Results parsing and formatting for agent consumption
2. Vulnerability Scanner
- Integrates with Nuclei for vulnerability detection
- Supports custom templates and severity filtering
- Stores results in MongoDB for fast searching
3. SSH Tools
- SSH command execution with credential authentication
- SSH brute force capabilities with username/password lists
- Results stored with host and port information
4. Metasploit Integration
- Exploit Database: Pre-populated MongoDB collection with all Metasploit exploits
- Fast Search: Search exploits by platform, CVE, rank, author, or keywords
- Exploit Execution: Execute exploits against targets with payload configuration
- Live Querying: Real-time exploit listing from Metasploit RPC server
Implementation Plan
- Set up basic MCP server structure
- Implement masscan integration with parameter validation
- Create result parsing and storage mechanisms
- Add additional components (forthcoming)
- Implement logging and monitoring
- Build permission and boundary systems
Todos
- [x] Add nuclei scanner
- [x] Add SSH scanner
- [x] Add Metasploit integration
- [x] Implement fully asynchronous FastMCP server
- [ ] Add tests
- [ ] Prompt for step by step hacking of a machine. (See agents/simple_agent.py)
Setup
installing 3rp party tools
The setup is depending on the following tools
- mongodb
- nuclei
Exploit Database Setup
To enable fast exploit searching, populate the Metasploit exploits database:
-
Prerequisites:
- Metasploit Framework installed
- MongoDB running on localhost:27017
- Metasploit RPC server running:
msfrpcd -P msf -a 127.0.0.1 - Python dependencies:
pip install pymetasploit3
-
Populate Database:
python scripts/setup_exploits_db.py -
Test Setup:
python scripts/test_exploits_db.py
This creates a searchable database of all Metasploit exploits with metadata including:
- CVE references
- Platform information
- Exploit rank and author
- Compatible payloads
- Required options
Usage
Exploit Search Examples
# Search Windows SMB exploits
search_exploits_fast(platform='windows', search_term='smb')
# Find EternalBlue exploit
search_exploits_fast(cve='CVE-2017-0144')
# Get high-quality exploits
search_exploits_fast(rank='excellent')
# Search by author
search_exploits_fast(author='hdm')
Development
Details on extending the server with new tools and resources will be added.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.