iflow-mcp_edenyavin-garakr-mcp

# 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 | Name | Description | |------|-------------| | list_model_types | List all available model types (ollama, openai, huggingface, ggml) | | list_models | List all available models for a given model type | | list_garak_probes | List all available Garak attacks/probes | | get_report | Get the report of the last run | | run_attack | Run 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. ```bash # Check your Python version python --version ``` 2. **Install uv**: A fast Python package installer and resolver. ```bash pip install uv ``` Or use Homebrew: ```bash brew install uv ``` 3. **Optional: Ollama**: If you want to r…