GhostWall MCP Server
Enables offline multi-agent security orchestration by providing tools for network traffic analysis, log correlation, threat scoring, and firewall mitigation via JSON-RPC.
README
🛡️ GhostWall - AI-Based Cyber Threat Detection Framework
GhostWall is a full-stack, completely offline, AI-powered Cyber Threat Detection Framework. Designed with a premium, high-visibility security dashboard, GhostWall serves as a mock defensive operations console. It demonstrates how multi-agent security orchestrations (ADK) can scan network traffic, correlate audit logs, evaluate threat payloads, and trigger active firewall blocks—entirely locally and without external API dependencies.
🔗 Live Demo URL: https://ghostwall.vercel.app (Build ready for Vercel deployment)
📊 Visual Walkthrough & Screenshots
💻 System Security HUD
The main dashboard features glassmorphic control cards, a system health score index, real-time restricted IP counters, and throughput meters.

📹 Real-Time Agentic Response Simulation
Watch the local multi-agent system respond step-by-step to a volumetric DDoS attack and sanitize inputs in the payload scanner:

🎯 Key Features
- ADK Multi-Agent System: Orchestrates specialized security agents working in a collaborative pipeline.
- Model Context Protocol (MCP): Implements an offline JSON-RPC MCP structure to register resources and tools that agents can query and trigger.
- Threat Simulator: Interactively trigger simulated attack vectors (DDoS, Brute Force, SQL Injection, XSS, Port Scans) and witness immediate real-time defensive reactions.
- Payload Sanitizer Sandbox: An interactive playground demonstrating strict static sanitization methods (SQLi, XSS, Traversal, Command Injection) with zero risk of code execution.
- CLI Utility Skills: Built-in script tools for directory log scanning and independent payload validation.
- Modern Obsidian Styling: Sleek cyberpunk theme featuring glowing neon status indicators, interactive SVG icons, and a custom command-line log viewer.
🛠️ Tech Stack
- Frontend: React 18, Vite 5, Lucide Icons, Vanilla HSL CSS Variables (Obsidian glassmorphism design system)
- Backend: Node.js, Express, Body Parser, CORS
- Type Safety: TypeScript 5
- Deployment: Vercel (integrated with Serverless Functions for full-stack compatibility)
- Orchestration: ADK (Agent Development Kit) simulation engine
🏗️ System Architecture
GhostWall models a standard SOC (Security Operations Center) pipeline:
flowchart TD
User([User Simulation Trigger]) -->|Select DDoS/SQLi/Brute Force| App[GhostWall Dashboard Client]
App -->|POST /api/simulation/run| Express[Express.js Serverless Backend]
subgraph Multi-Agent System [ADK Orchestration Engine]
Express --> Manager[AgentManager]
Manager -->|Step 1| NetAgent[Network Traffic Analyzer Agent]
Manager -->|Step 2| LogAgent[Log Parser & Correlation Agent]
Manager -->|Step 3| ThreatAgent[Threat Scoring Agent]
Manager -->|Step 4| MitAgent[Response Mitigation Agent]
end
subgraph Local MCP Server [Model Context Protocol Server]
NetAgent -->|Call Tool| Tool1[network_traffic_analyzer]
LogAgent -->|Call Tool| Tool2[log_correlator]
ThreatAgent -->|Call Tool| Tool3[payload_sanitize_validator]
MitAgent -->|Call Tool| Tool4[firewall_mitigator]
Manager -->|Read Resource| Resource1[ghostwall://threats/logs]
Manager -->|Read Resource| Resource2[ghostwall://system/status]
end
Tool4 -->|Enforce Rule| Blacklist[(Firewall Blacklist / Memory Logs)]
Blacklist -->|Report Status| App
🤖 Agent Directory & Roles
- Network Traffic Analyzer Agent: Scans connections for volumetric patterns (e.g. DDoS volume threshold anomalies).
- Log Parser & Correlation Agent: Links authentication failures with scanning events to spot multi-stage campaigns.
- Threat Classification & Scoring Agent: Inspects exploit payloads and assigns risk index scores (0-100).
- Automated Response Mitigation Agent: Determines containment actions (
BLOCK_IP,RATE_LIMIT,ISOLATE_SUBNET).
📂 Project Directory Structure
├── api/
│ └── index.ts # Vercel serverless entry point
├── assets/
│ ├── initial_dashboard_view.png
│ └── ghostwall_threat_simulation_demo.webp
├── server/
│ ├── index.ts # Express application & API routing
│ ├── mcp-server.ts # Mock MCP JSON-RPC Server
│ ├── adk/
│ │ ├── agent-manager.ts # Multi-agent orchestrator loop
│ │ ├── network-agent.ts # Network security agent
│ │ ├── log-agent.ts # Correlation agent
│ │ ├── threat-agent.ts # Scoring agent
│ │ └── mitigation-agent.ts # Firewall mitigation agent
│ └── scripts/
│ ├── log-collector.ts # CLI Log Analyzer skill script
│ └── payload-validator.ts # Standalone static payload scanner
├── src/
│ ├── App.tsx # Dashboard interface component
│ ├── main.tsx # React DOM bootstrapper
│ ├── index.css # Obsidian cyber theme CSS styles
│ └── vite-env.d.ts # Vite client type bindings
├── index.html # HTML entry (Outfit & JetBrains Fonts)
├── package.json # Project dependencies & build automation
├── tsconfig.json # TypeScript compilation config
├── vercel.json # Vercel deployment rewrite routes
└── vite.config.ts # Vite configuration with proxy settings
🚀 Quick Setup & Installation
Prerequisites
- Node.js (v18+)
- npm (v9+)
Local Development
-
Clone the repository and install dependencies:
git clone https://github.com/anshikasingh28072006/GhostWall.git cd GhostWall npm install -
Run the full application locally:
npm run devThis concurrent script launches the React client on http://localhost:3000 and proxy-binds to the Express backend API on http://localhost:3001.
CLI Security Tools
You can execute standalone tools directly in your terminal:
# Run log parser skill
npx ts-node server/scripts/log-collector.ts
# Run payload validator skill
npx ts-node server/scripts/payload-validator.ts "SELECT * FROM users WHERE 1=1"
⚡ Vercel Deployment Instructions
GhostWall is deployed as a 100% client-side static React application. There is no backend server setup or API key configuration needed:
- Push Changes to GitHub: Ensure all local changes are committed and pushed to your repo.
- Import Project to Vercel:
- Go to Vercel Dashboard and click Add New -> Project.
- Import the
GhostWallrepository.
- Configure Settings:
- Framework Preset: Vite
- Root Directory:
./(leave default) - Build Command:
npm run build(runstsc && vite build) - Output Directory:
dist
- Deploy: Click Deploy. Vercel will build the React bundle and deploy the static site instantly.
🔮 Future Improvements
- Add a live interactive threat map visualizing blocked geo-IP markers.
- Implement exportable CSV reports for compliance auditing.
- Expand signature lists to include SQLi-to-shell patterns.
- Integrate WebSockets for live logging feeds.
👥 Author & Contact
- Author: Anshika Singh
- GitHub: @anshikasingh28072006
- Role: Cyber Security Analyst & Developer
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。