MCP-Ghidra5
🎯 Advanced GPT-5 Powered Ghidra Reverse Engineering MCP Server | 7 AI-Enhanced Analysis Tools | Professional Binary Analysis | TechSquad Inc. Proprietary Software
Install / Use
claude mcp add TheStingR -- npx -y github:TheStingR/MCP-Ghidra5If the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
SecuritySupported Platforms
Our assessment of MCP-Ghidra5
MCP-Ghidra5 scores 80/100 on our quality scale, 1022nd of 1,120 Security skills we index.
Its MCP Server is 17 KB long, well organised into 73 sections with 9 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 79/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
MCP-Ghidra5 compared with similar skills
All 4 of these similar skills score higher than MCP-Ghidra5; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| MCP-Ghidra5 (this skill)by TheStingR | 80 | 10 | 12mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 99.6k | 4d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 76.2k | 2d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.5k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 88.7k | today | MCP Server |
Frequently asked questions
- How do I install MCP-Ghidra5?
- Run
claude mcp add TheStingR -- npx -y github:TheStingR/MCP-Ghidra5. The install tabs above show the steps for each supported agent. - Which AI agents does MCP-Ghidra5 work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is MCP-Ghidra5 safe to use?
- It declares no license and scores 79/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is MCP-Ghidra5 still maintained?
- The repository was last updated about 12 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub
MCP-Ghidra5
🎯 Advanced GPT-5 Powered Ghidra Reverse Engineering MCP Server
MCP-Ghidra5 is a cutting-edge Model Context Protocol (MCP) server that seamlessly integrates Ghidra's powerful reverse engineering capabilities with advanced multi-model AI technology. Supporting 7 major AI providers including OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok, and local LLMs via Ollama, this professional-grade tool transforms binary analysis from a manual, time-intensive process into an automated, intelligent workflow with cost optimization and automatic fallback systems.
🚀 Key Features
🤖 Multi-Model AI Suite
- 🧠 7 AI Provider Support - OpenAI GPT-5, Claude 3.5, Gemini, Grok, DeepSeek, Perplexity, Ollama
- 🔄 Intelligent Fallback - Automatic provider switching for 99.9% uptime reliability
- 💰 Cost Optimization - Smart model selection saving 30-50% on AI costs
- 📊 Usage Analytics - Comprehensive tracking of API calls, costs, and performance
- 🔒 Local LLM Support - Ollama integration for 100% private offline analysis
- ⚡ Model Testing - Built-in tools to test and validate AI provider configurations
- 🎯 Provider Management - Dynamic switching between models mid-session
🔬 Advanced Analysis Tools
- 📊 Binary Analysis - Comprehensive executable analysis with multi-AI interpretation
- 🔍 Function Decompilation - Intelligent function analysis with contextual explanations
- 🛡️ Malware Detection - AI-powered behavioral and structural malware analysis
- ⚡ Exploit Development - Automated PoC generation with vulnerability insights
- 🔧 Firmware Analysis - IoT and embedded systems reverse engineering
- 🎯 Pattern Recognition - Vulnerability detection across multiple architectures
🏗️ Professional Integration
- 🔗 MCP Client Integration - Seamless MCP server deployment
- 📋 Multi-Architecture Support - x86, x64, ARM, MIPS, RISC-V compatibility
- ⚙️ Automated Installation - One-command setup with dependency management
- 🔑 API Key Management - Secure OpenAI API key configuration
- 📁 Project Management - Organized analysis workspace with logging
📦 Installation
Prerequisites
- Python 3.8+ with pip/pipx
- Linux Environment (Kali Linux, Ubuntu, RHEL, etc.)
- OpenAI API Key for GPT-5/GPT-4o access
- Ghidra (REQUIRED - core functionality depends on this)
Quick Install
# 1. Install Ghidra (REQUIRED)
# Download from: https://github.com/NationalSecurityAgency/ghidra/releases
# Extract to /opt/ghidra/ (recommended)
sudo mkdir -p /opt/ghidra
sudo tar -xzf ghidra_*.zip -C /opt/ && sudo mv /opt/ghidra_* /opt/ghidra
# 2. Download MCP-Ghidra5
wget https://github.com/TheStingR/MCP-Ghidra5/archive/main.zip
unzip main.zip && cd MCP-Ghidra5-main
# 3. Navigate to the MCP-Ghidra5 directory and run installer
cd MCP-Ghidra5
./install_mcp_ghidra5.sh
# Follow prompts: Accept terms → Enter API key → Done!
# 4. Test installation
./test_ghidra_gpt5.py
# 5. Add to MCP Client (use generated config)
# Configure your MCP-compatible client with the generated settings
Manual Setup
# 1. INSTALL GHIDRA FIRST (MANDATORY)
# Download: https://github.com/NationalSecurityAgency/ghidra/releases
# Extract to /opt/ghidra/
# 2. Install Python dependencies
pip3 install --user mcp aiohttp
# 3. Configure environment
export OPENAI_API_KEY="your-api-key-here"
export GHIDRA_HEADLESS_PATH="/opt/ghidra/support/analyzeHeadless"
# 4. Verify Ghidra installation
$GHIDRA_HEADLESS_PATH -help || echo "ERROR: Ghidra not found!"
# 5. Navigate to MCP-Ghidra5 directory and run server
cd MCP-Ghidra5
python3 ghidra_gpt5_mcp.py
🛠️ Usage Examples
Binary Analysis
call_mcp_tool("ghidra_binary_analysis", {
"binary_path": "/path/to/executable",
"analysis_depth": "deep"
})
Function Analysis
call_mcp_tool("ghidra_function_analysis", {
"binary_path": "/path/to/binary",
"function_name": "main",
"include_decompilation": true
})
Exploit Development
call_mcp_tool("ghidra_exploit_development", {
"binary_path": "/path/to/vulnerable_app",
"vulnerability_type": "buffer_overflow"
})
Multi-Model AI Queries
call_mcp_tool("gpt5_reverse_engineering_query", {
"query": "How to bypass ASLR in modern Linux systems?",
"preferred_model": "claude-3-5-sonnet"
})
AI Model Management
# Check available AI providers
call_mcp_tool("ai_model_status", {"action": "status"})
# Test specific model
call_mcp_tool("ai_model_status", {
"action": "test_model",
"model_name": "grok-beta"
})
Tier 1 Binary Analysis Tools 🆕 v1.2.0
# Strings extraction with AI analysis
call_mcp_tool("binary_strings_analysis", {
"binary_path": "/path/to/binary",
"min_length": 6,
"encoding": "all",
"output_format": "json",
"ai_analysis": True
})
# File information and metadata
call_mcp_tool("binary_file_info", {
"binary_path": "/path/to/binary",
"detailed": True
})
# Objdump disassembly analysis
call_mcp_tool("binary_objdump_analysis", {
"binary_path": "/path/to/binary",
"analysis_type": "all",
"ai_analysis": True
})
# ELF binary analysis with readelf
call_mcp_tool("binary_readelf_analysis", {
"binary_path": "/path/to/elf_binary",
"analysis_type": "all"
})
# Hex dump with pattern recognition
call_mcp_tool("binary_hexdump_analysis", {
"binary_path": "/path/to/binary",
"offset": 0,
"length": 1024,
"format": "canonical"
})
Phase 2 Binary Diffing Tools 🆕 v1.3.0
# Comprehensive binary file comparison
call_mcp_tool("binary_diff_file", {
"file1_path": "/path/to/original.bin",
"file2_path": "/path/to/modified.bin",
"ai_analysis": True
})
# String-based binary comparison
call_mcp_tool("binary_diff_strings", {
"file1_path": "/path/to/binary1",
"file2_path": "/path/to/binary2",
"min_length": 4
})
# Function-level comparison
call_mcp_tool("binary_diff_functions", {
"file1_path": "/path/to/v1.exe",
"file2_path": "/path/to/v2.exe"
})
# Metadata comparison
call_mcp_tool("binary_diff_metadata", {
"file1_path": "/path/to/elf1",
"file2_path": "/path/to/elf2"
})
🎯 17 Advanced Analysis Tools 🆕
🏗️ Core Ghidra Integration
| Tool | Description | Use Case | |------|-------------|----------| | 🔬 Binary Analysis | Comprehensive Ghidra + Multi-AI analysis | Full executable examination | | 🎯 Function Analysis | Specific function decompilation | Targeted code analysis | | 💥 Exploit Development | PoC generation with AI selection | Vulnerability research | | 🦠 Malware Analysis | Behavioral and structural analysis | Threat intelligence | | 📡 Firmware Analysis | IoT and embedded systems | Hardware security | | 🔍 Pattern Search | Vulnerability detection | Code auditing |
⚡ Tier 1 Binary Tools 🆕 v1.2.0
| Tool | Description | Features | |------|-------------|----------| | 📝 Strings Analysis | Multi-encoding string extraction | AI pattern recognition, crypto detection | | 📋 File Information | Comprehensive file metadata | Type detection, security assessment | | 🔧 Objdump Analysis | Disassembly and symbol analysis | Cross-architecture, AI interpretation | | ⚙️ Readelf Analysis | ELF binary structure analysis | Security features, dependency analysis | | 🔍 Hexdump Analysis | Raw binary inspection | Pattern recognition, magic signatures |
🔄 Phase 2 Binary Diffing Tools 🆕 v1.3.0
| Tool | Description | Features | |------|-------------|----------| | 📊 Binary File Diff | Comprehensive binary comparison | AI-powered security analysis, metadata comparison | | 📝 Strings Diff | String-based binary comparison | Multi-encoding support, pattern analysis | | 🔧 Functions Diff | Function-level comparison analysis | Decompilation diff with AI insights | | 📋 Metadata Diff | Binary metadata comparison | ELF headers, sections, symbols analysis |
🤖 AI & Management
| Tool | Description | Use Case | |------|-------------|----------| | 🤖 Multi-Model Queries | Expert assistance with 7 AI providers | Knowledge base | | 🔧 AI Model Status | Provider management and testing | System monitoring |
🔄 Binary Diffing Capabilities 🆕 v1.3.0
Phase 2 introduces advanced binary comparison and diffing tools with AI-powered security analysis:
🎯 Core Diffing Features
- 📊 File-Level Comparison - Complete binary diff with security impact analysis
- 📝 String Diffing - Multi-encoding string comparison with pattern detection
- 🔧 Function Analysis - Decompilation-based function comparison
- 📋 Metadata Diffing - ELF headers, sections, and symbol analysis
🤖 AI-Enhanced Analysis
- 🛡️ Security Impact Assessment - Automated vulnerability risk analysis
- 🔍 Pattern Recognition - Intelligent change detection and categorization
- ⚡ Async Processing - High-performance concurrent analysis
- 💾 Smart Caching - Intelligent caching with automatic cleanup
🏗️ Technical Specifications
- ⚡ Performance: 5-30 seconds for typical binary pairs
- 💰 Cost Efficient: $0.02-0.10 per comparison with AI analysis
- 🔒 Secure Processing: Local analysis with optional AI enhancement
- 📊 Structured Output: JSON format for programmatic consumption
🏆 Performance Specifications
- ⚡ Quick Analysis: 30-60 seconds
- 🔍 Deep Analysis: 120-240 seconds
- 💰 Cost Efficient: $0.05-0.80 per analysis
- 🎯 Multi-Platform: Linux distributions supported
- 🔒 Secure: No data retention, API key protection
📚 Documentation
- 📖 Deployment Guide - Complete setup instructions
- 🔧 Project Summary - Technical specifications
- ✅ Installation Verification - Test your setup
- 🏢 Copyright Information - Legal terms and licensing
🎯 Target Audience
- 🔐 Cybersecurity Professionals - Advanced threat analysis
- 🎮 CTF Competitors - Rapid binary reverse engineering
- 🛡️ Penetration Testers - Exploit development and analysis
- 🦠 Malware Analysts - Threat intelligence and research
- 🏭 Security Researchers - Vulnerability discovery
- 🎓 Educators & Students - Learning reverse engineering
🔧 System Requirements
| Component | Requirement | |-----------|-------------| | OS | Linux (Kali, Ubuntu, RHEL, CentOS, etc.) | | Python | 3.8+ with pip | | Memory | 4GB+ RAM recommended | | Storage | 2GB+ free space | | Network | Internet access for API calls | || Ghidra | REQUIRED - Download from NSA GitHub |
🛡️ Security & Legal
⚖️ Legal Notice
- 🏢 Property: TechSquad Inc. proprietary software
- ❌ Not For Resale: Commercial distribution prohibited
- ✅ Legal Use Only: Authorized for legitimate security research
- 🔒 Disclaimer: Neither TechSquad Inc. nor TheStingR is responsible for improper use
🔐 Security Features
- 🔑 API Key Protection - Secure credential manag
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
