Offensive-MCP-AI

# Offensive-MCP-AI ## 🔮 Future Work Using MCP and AI 1. **Autonomous Red Team Agents** Build LLM-driven agents that autonomously conduct reconnaissance, payload generation, exploitation and reporting, all orchestrated via MCP tools. 2. **AI-Powered SOC Analyst** Integrate Wazuh + Suricata + Zeek logs and use MCP to let Claude analyze incidents, detect lateral movement, and recommend response actions in real-time. 3. **Malware Dev Studio (LLM + MCP)** Use Claude + MCP to automate shellcode generation, obfuscation, sandbox evasion, and EDR bypass strategies through tools like Capstone, Donut, and Sliver. 4. **Threat Hunting Automation** Develop proactive AI workflows that analyze logs, correlate indicators, and hunt based on threat intelligence feeds via MCP `resources` and `tools`. 5. **Agent-Based Purple Team Simulator** Combine MCP with ATT&CK simulations, where Claude orchestrates both Red and Blue side techniques (Atomic Red Team, Caldera, Sigma/YARA rule generation). 6. **CI/CD + DevSecOps Integration** Use MCP to review code pushed to GitHub, scan secrets, trigger security tools (Trufflehog, Gitleaks), and send secure alerts or PR recommendations. 7. **Auto Incident Report Generator** Claude consumes logs and tool outputs via MCP and generates full incident reports (including diagrams and mitigations) in Markdown or PDF formats. 8. **Cybersecurity Tutor / Trainer Mode** Claude explains what each tool does, simulates attacks in safe lab environments, and evaluates user responses via MCP simulation tools. --- ## 🔗 Installation & Integration Links ### ✅ Install MCP CLI and SDK (Python) ```bash pip install modelcontextprotocol ``` Docs: 🔗 https://modelcontextprotocol.io/quickstart/server GitHub: 🔗 https://github.com/jlowin/fastmcp --- ### 🧠 Claude Desktop Configuration (Mac, Linux, Windows) 1. Install Claude for Desktop 🔗 https://www.anthropic.com/index/claude-desktop 2. Edit config file: #### macOS/Linux ```bash nano ~/Library/Application\ Support/Claude/claude_desktop_config.json ``` #### Windows ```bash notepad %AppData%\Claude\claude_desktop_config.json ``` 3. Add your MCP server: ```json { "mcpServers": { "my-wazuh-agent": { "command": "/full/path/to/python", "args": [ "mcp_wazuh_server.py" ] } } } ``` 4. Restart Claude Desktop — you’ll see the **connector icon (⚡)** for prompts and the **tools icon (🛠)** for tool invocation. --- ### 🧪 Test Locally with Inspector Run your server with debugging: ```bash npx @modelcontextprotocol/inspector python mcp_wazuh_server.py ``` This opens a local UI where you can test `@mcp.tool()` and `@mcp.prompt()` before linking with Claude.