Nmap Mcp

2 MIT

FreeCommunity

AI Systems

MCP server for NMAP

What is Nmap Mcp

nmap-mcp is a simple MCP server designed for communication with NMAP, facilitating the integration of network scanning functionalities into applications.

Use cases

Use cases for nmap-mcp include automating network scans, integrating scanning results into security dashboards, and developing tools for network analysis.

How to use

To use nmap-mcp, first set up a virtual environment, activate it, and install the server using pip. Then, run the server with the command ‘mcp dev src/server.py’.

Key features

Key features of nmap-mcp include easy setup, integration with NMAP for network scanning, and the ability to communicate using the Model Context Protocol.

Where to use

nmap-mcp can be used in network security assessments, penetration testing, and any application requiring network scanning capabilities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Nmap Mcp

nmap-mcp is a simple MCP server designed for communication with NMAP, facilitating the integration of network scanning functionalities into applications.

Use cases

Use cases for nmap-mcp include automating network scans, integrating scanning results into security dashboards, and developing tools for network analysis.

How to use

To use nmap-mcp, first set up a virtual environment, activate it, and install the server using pip. Then, run the server with the command ‘mcp dev src/server.py’.

Key features

Key features of nmap-mcp include easy setup, integration with NMAP for network scanning, and the ability to communicate using the Model Context Protocol.

Where to use

nmap-mcp can be used in network security assessments, penetration testing, and any application requiring network scanning capabilities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

NMAP MCP Server

Description

Simple MCP server for communicating with NMAP.

Demo

Getting Started

venv venv
source venv/bin/activate
pip install -e .

mcp dev src/server.py

Resources

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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