mcpField
M
MCP Recon

MCP Recon

Local
github.com/sundayz-hunterSecurity7Updated 36w ago

About MCP Recon

MCP Recon is a Python-based web security reconnaissance server for cybersecurity professionals. It organizes passive information gathering, DNS and network discovery, and web application analysis into MCP tools.

Key features

  1. 01Retrieve WHOIS and domain history
  2. 02Look up DNS records and subdomains
  3. 03Inspect IP details and scan ports
  4. 04Analyze TLS certificates and HTTP headers
  5. 05Detect web technologies and extract URLs

Use cases

  1. 01Collect domain and registration details
  2. 02Discover DNS records and subdomains
  3. 03Check hosts and scan network ports
  4. 04Review web security configuration and technologies

MCP support

Exposes reconnaissance tools to MCP clients for domain research, DNS analysis, network scanning, and web application inspection.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Recon

A comprehensive Model Context Protocol (MCP) server for web security reconnaissance and analysis. This toolkit provides cybersecurity professionals with essential reconnaissance capabilities through Python-native implementations, following the standard cybersecurity reconnaissance methodology.

🚀 Features

📊 1. Information Gathering (Passive Reconnaissance)
  • WHOIS Information: Domain registration and ownership details
  • Domain History: Reputation and historical data analysis
🔍 2. DNS Analysis (Infrastructure Discovery)
  • DNS Records Lookup: Comprehensive DNS enumeration (A, AAAA, MX, NS, TXT, SPF, DMARC)
  • Reverse DNS Lookup: IP to hostname resolution
  • Passive Subdomain Enumeration: Certificate Transparency logs discovery via crt.sh (stealth)
  • Active Subdomain Enumeration: DNS brute-force discovery using wordlist from subdomains.txt
🌐 3. Network Reconnaissance (Active Scanning)
  • IP Information: Geolocation, ISP, and network details
  • Alive Check: HTTP/HTTPS connectivity testing with response analysis
  • Port Scanning: Advanced Nmap integration with multiple scan modes
🔒 4. Web Application Analysis (Application Layer)
  • TLS Certificate Analysis: SSL/TLS certificate inspection and validation
  • HTTP Headers Analysis: Security headers assessment and information disclosure detection
  • Technology Detection: Web framework and technology fingerprinting
  • URL Extraction: Web crawling and link discovery

-----------------------------------------------------

🛠 Installation

Prerequisites
  • Python 3.10+
  • UV Package Manager (automatically installed by script)
  • Nmap (automatically installed by script)
Quick Installation
Windows (PowerShell)
.\install.ps1
Linux/macOS
chmod +x install.sh
./install.sh
Claude Desktop Configuration

Add this configuration to your Claude Desktop settings to connect the MCP Web Reconnaissance Server:

Windows Configuration
{
  "mcpServers": {
    "recon": {
      "command": "C:\\Users\\YOUR_USERNAME\\.local\\bin\\uv.exe",
      "args": [
        "--directory",
        "C:\\Users\\YOUR_USERNAME\\path\\to\\MCP_Recon",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}
Linux/macOS Configuration
{
  "mcpServers": {
    "recon": {
      "command": "/home/YOUR_USERNAME/.local/bin/uv",
      "args": [
        "--directory",
        "/home/YOUR_USERNAME/path/to/MCP_Recon",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}

Replace the following placeholders:

  • YOUR_USERNAME with your actual username
  • path/to/MCP_Recon with the actual path to your cloned repository

Configuration file locations:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

-----------------------------------------------------

🚀 Usage

Available Tools (Following Reconnaissance Methodology)
1. Information Gathering (Passive Reconnaissance)
  • whois_info - Get WHOIS information
  • domain_history - Check domain reputation and history
2. DNS Analysis (Infrastructure Discovery)
  • dns_records - Get all DNS records for a domain
  • reverse_dns - Perform reverse DNS lookup
  • subdomain_enum_passive - Passive subdomain discovery via Certificate Transparency (crt.sh)
  • subdomain_enum_active - Active subdomain enumeration using DNS brute force
3. Network Reconnaissance (Active Scanning)
  • ip_information - Get comprehensive IP information
  • check_alive - Check if hosts respond via HTTP/HTTPS
  • port_scan - Advanced port scanning with Nmap
4. Web Application Analysis (Application Layer)
  • tls_certificate - Analyze TLS certificates
  • http_headers - Analyze HTTP security headers
  • detect_technologies - Detect web technologies
  • extract_urls - Extract URLs from web pages

-----------------------------------------------------

🔧 Configuration

Custom User-Agent

For bug bounty programs requiring specific identification, HTTP-based tools support an optional user_agent parameter. When provided, it replaces the default User-Agent for all HTTP requests to the target.

Examples:

# Default User-Agent
http_headers("https://example.com")

# Custom User-Agent for bug bounty programs
http_headers("https://example.com", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 bug-bounty")

Tools supporting custom User-Agent:

  • http_headers - HTTP headers analysis
  • detect_technologies - Technology fingerprinting
  • extract_urls - URL extraction/crawling
  • check_alive - Host connectivity check

-----------------------------------------------------

🔧 Wordlists

Subdomain Wordlist Customization

You can customize subdomain enumeration in two ways:

1. Edit the wordlist file

Modify the subdomains.txt file in the project root to add/remove subdomains:

www
api
admin
test
dev
staging
# Add your custom subdomains here
2. Provide custom wordlist in Claude Desktop chat
Port Scanning Options

The port scanner supports various modes optimized for different scenarios:

  • "common": Common services (21,22,23,25,53,80,443,etc.)
  • "top100": Top 100 most common ports (recommended for initial reconnaissance)
  • "top1000": Top 1000 ports (comprehensive discovery)
  • "80,443,8080": Specific ports (targeted scanning)
  • "1-1000": Port range (internal network scanning)

-----------------------------------------------------

🏗 Architecture

Project Structure
mcp-recon/
├── main.py                 # MCP server entry point with organized tool categories
├── subdomains.txt          # Default subdomain wordlist (customizable)
├── tools/
│   ├── info_tools.py       # Information gathering utilities (WHOIS, domain history)
│   ├── dns_tools.py        # DNS and domain reconnaissance
│   ├── network_tools.py    # Network scanning and analysis
│   └── web_tools.py        # Web application analysis
├── install.ps1            # Windows installation script
├── install.sh             # Linux/macOS installation script
├── pyproject.toml          # Python project configuration
└── README.md              # This documentation

-----------------------------------------------------

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

-----------------------------------------------------

⚠️ Disclaimer

This tool is intended for legitimate security research, penetration testing, and bug bounty activities only. Users are responsible for ensuring they have proper authorization before scanning or testing any networks, systems, or applications. The authors are not responsible for any misuse of this tool.

Always follow responsible disclosure practices and respect scope limitations in bug bounty programs.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.