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everything vs ramibot

Side-by-side comparison to help you pick between these two MCP servers.

everything
by modelcontextprotocol
ramibot
by RamiBotAI
Stars★ 85,748★ 20
30d uses
Score7743
Official
Categories
Developer ToolsAI / LLM ToolsOther
SecurityDeveloper ToolsAI / LLM Tools
LanguageTypeScriptPython
Last committhis month2 mo ago

everything · Summary

Official MCP test server exercising all protocol features for client builders.

ramibot · Summary

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

everything · Use cases

  • Testing MCP client implementations against all protocol features
  • Learning MCP protocol capabilities through a reference server
  • Validating client compatibility with different transport methods

ramibot · Use cases

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

everything · Install

NPX (recommended)

{
  "mcpServers": {
    "everything": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

On Windows, use cmd /c:

{
  "mcpServers": {
    "everything": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
    }
  }
}

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

ramibot · Install

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.

Comparison generated from public README + GitHub signals. Last updated automatically.