Garak MCP
A lightweight MCP server that supports the Garak LLM vulnerability scanning tool, providing functions such as listing model types, models, and attack probes, and can run attack tests to generate reports.
rating : 2 points
downloads : 18
What is Garak MCP Server?
The Garak MCP Server provides a simple interface to test language models for security vulnerabilities. It supports multiple model types and various attack probes to identify potential weaknesses in AI systems.How to use Garak MCP?
You can interact with the server through supported clients like Claude Desktop or Cursor. The server provides commands to list available models, probes, and run security tests.Use Cases
Ideal for AI security researchers, developers testing their LLM implementations, and organizations evaluating model security before deployment.Key Features
Multiple Model SupportWorks with Ollama, OpenAI, HuggingFace and GGML model types
Comprehensive Probe LibraryIncludes various pre-built security probes from Garak framework
Lightweight ServerMinimal resource requirements for easy deployment
Pros and Cons
Advantages
Easy to set up and configure
Supports multiple popular model types
Provides standardized vulnerability reports
Limitations
Currently limited to specific model types
Reporting features need improvement
Some model integrations not fully tested
Getting Started
Install Prerequisites
Ensure you have Python 3.11+ and uv installed
Clone Repository
Get the server code from GitHub
Configure Client
Set up your MCP client (like Cursor) to connect to the server
Example Scenarios
Testing Local Ollama ModelCheck a locally running Ollama model for prompt injection vulnerabilities
Listing Available ProbesDiscover what security tests are available
Frequently Asked Questions
What clients support this MCP server?
How do I view the scan results?
Can I add custom probes?
Additional Resources
Garak Framework
The underlying security framework used by this server
MCP Protocol
Documentation on Model Context Protocol
Ollama
For running local models
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