Compliant Llm
@fiddlecube
About Compliant Llm
Build Secure and Compliant AI agents and MCP Servers. YC W23
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Compliant Llm?
Compliant Llm is a comprehensive toolkit for ensuring compliance and security of AI systems. It is designed for infosec, compliance, and generative AI teams to test AI agents, prompts, MCP servers, and models against internal policies and frameworks such as NIST, ISO, HIPAA, and GDPR.
How to use Compliant Llm?
Install the package via pip install compliant-llm, then launch the interactive dashboard with the command compliant-llm dashboard. Configure your chosen LLM provider and begin running security tests and compliance analysis.
Key features of Compliant Llm
- Security testing against 8+ attack strategies
- Compliance analysis for NIST, ISO, OWASP, GDPR
- Supports multiple LLM providers via LiteLLM
- Interactive visual dashboard for test results
- End-to-end testing of AI systems
- Detailed reports with actionable insights
Use cases of Compliant Llm
- Ensuring an AI agent complies with internal policies and HIPAA
- Testing an MCP server for prompt injection vulnerabilities
- Validating LLM outputs against GDPR data privacy requirements
- Running security audits on generative AI models before deployment
FAQ from Compliant Llm
What compliance frameworks does Compliant Llm support?
It supports NIST, ISO, OWASP, GDPR, HIPAA, and other frameworks.
Which LLM providers can I use with Compliant Llm?
It supports OpenAI, Anthropic, Gemini, Mistral, Groq, Deepseek, Azure, vLLM Ollama, Ollama, Nvidia Nim, and Meta Llama via LiteLLM.
How
More AI & Agents MCP servers
Gemini MCP Server
aliargunMCP server implementation for Google's Gemini API
Shell and Coding agent for Claude and other mcp clients
rusiaamanShell and coding agent on mcp clients
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
MCP-LLM Bridge
patruffBridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Comments