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ramibot

by RamiBotAI·20·Score 43

RamiBot is a local-first AI security platform with MCP integration for red/blue team operations.

securitydeveloper-toolsai-llm
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Overview

RamiBot combines AI reasoning with cybersecurity tools through MCP protocol, featuring multi-LLM support, Docker integration, and a structured security skill pipeline. The platform offers controlled tool execution through MCP servers like rami-kali with 45+ pentesting tools. It includes unique features like evidence-locked reporting, tool approval gates, and Tor proxy management for comprehensive security operations workflows.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

you:Red team operations with LLM-assisted vulnerability scanning
you:Blue team analysis with evidence-locked reporting
you:Security research with Docker-contained tool execution

When to choose this

Choose RamiBot when you need AI assistance in security operations with real tool execution in controlled environments, especially for red/blue team workflows that require human oversight for sensitive operations.

When NOT to choose this

Don't choose RamiBot if you need cloud-based SaaS solutions without Docker dependency, or if you require rapid deployment without containerization overhead.

Tools this server exposes

12 tools extracted from the README
  • recon

    Security reconnaissance tool for port scanning, subdomain enumeration, and DNS queries

  • exploit

    Exploitation tool for running payloads and achieving remote code execution

  • defense

    Security defense tool for hardening systems and mitigating threats

  • analysis

    Security analysis tool for examining logs, traffic, and forensic data

  • reporting

    Security reporting tool for generating structured security reports

  • burp_expert

    Burp Suite integration for web application security testing

  • docker_terminal

    Access Docker container terminal for running commands

  • tor_proxy

    Manage Tor proxy connection for anonymous browsing

  • cve_query

    Query CVE database for vulnerability information

  • skill_pipeline

    Automatically select and execute appropriate security skill based on context

  • mcp_tool

    Execute MCP-integrated security tools

  • export_pdf

    Export security findings to PDF format

Note: Tools were inferred from the skill system documentation and feature descriptions. The README mentions MCP tool integration and various security tools but doesn't provide a complete list of MCP tool names with exact signatures. The tools lis

Comparable tools

security-tool-mcpai-security-platformmcp-pentest-tools

Installation

Installation

**Requirements:** Python 3.9+, Node.js 18+, npm, Docker Desktop

**One-command install (recommended):**

git clone <repository-url>
cd ramibot

# Linux / macOS
bash install.sh

# Windows
install.bat

**Manual install:**

  1. Clone and navigate to the repository
  2. Backend: cd backend; python -m venv .venv; .venv\Scripts\activate (Windows) or source .venv/bin/activate (Unix); pip install -r requirements.txt
  3. Frontend: cd frontend; npm install
  4. Run: bash start.sh (Unix) or start.bat (Windows)

**Settings:** Edit backend/settings.json to add your API keys.

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Last updated · Auto-generated from public README + GitHub signals.