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Garak-MCP

Garak-MCP

Public
EdenYavin/Garak-MCP

MCP Server For Garak LLM Vulnerability Scanner https://github.com/EdenYavin/Garak-MCP/blob/main/README.md

Verified
python
0 tools
May 29, 2025
Updated May 30, 2025

MCP Server For Garak LLM Vulnerability Scanner

A lightweight MCP (Model Context Protocol) server for Garak.

Example:

https://github.com/user-attachments/assets/f6095d26-2b79-4ef7-a889-fd6be27bbbda


Tools Provided

Overview

NameDescription
list_model_typesList all available model types (ollama, openai, huggingface, ggml)
list_modelsList all available models for a given model type
list_garak_probesList all available Garak attacks/probes
get_reportGet the report of the last run
run_attackRun an attack with a given model and probe

Detailed Description

  • list_model_types

    • List all available model types that can be used for attacks
    • Returns a list of supported model types (ollama, openai, huggingface, ggml)
  • list_models

    • List all available models for a given model type
    • Input parameters:
      • model_type (string, required): The type of model to list (ollama, openai, huggingface, ggml)
    • Returns a list of available models for the specified type
  • list_garak_probes

    • List all available Garak attacks/probes
    • Returns a list of available probes/attacks that can be run
  • get_report

    • Get the report of the last run
    • Returns the path to the report file
  • run_attack

    • Run an attack with the given model and probe
    • Input parameters:
      • model_type (string, required): The type of model to use
      • model_name (string, required): The name of the model to use
      • probe_name (string, required): The name of the attack/probe to use
    • Returns a list of vulnerabilities found

Prerequisites

  1. Python 3.11 or higher: This project requires Python 3.11 or newer.

    # Check your Python version python --version
  2. Install uv: A fast Python package installer and resolver.

    pip install uv

    Or use Homebrew:

    brew install uv
  3. Optional: Ollama: If you want to run attacks on ollama models be sure that the ollama server is running.

ollama serve

Installation

  1. Clone this repository:
git clone https://github.com/BIGdeadLock/Garak-MCP.git
  1. Configure your MCP Host (Claude Desktop ,Cursor, etc):
{ "mcpServers": { "garak-mcp": { "command": "uv", "args": ["--directory", "path-to/Garak-MCP", "run", "garak-server"], "env": {} } } }

Tested on:

  • Cursor
  • Claude Desktop

Future Steps

  • Add support for Smithery AI: Docker and config
  • Improve Reporting
  • Test and validate OpenAI models (GPT-3.5, GPT-4)
  • Test and validate HuggingFace models
  • Test and validate local GGML models
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