Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"compliant-llm": {
"args": [
"compliant-llm"
],
"command": "uvx"
}
}
}Are you the author?
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Compliant LLM is your comprehensive toolkit for ensuring compliance and security of your AI systems.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'compliant-llm' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked compliant-llm against OSV.dev.
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Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
Persistent memory using a knowledge graph
Dynamic problem-solving through sequential thought chains
A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
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Compliant LLM is your comprehensive toolkit for ensuring compliance and security of your AI systems.
Infosec, compliance, and gen AI teams use compliant-llm to ensure that their AI agents are secure and compliant with internal policies and frameworks like NIST, ISO, HIPAA, GDPR, etc.
It supports multiple LLM providers, and can be used to test prompts, agents, MCP servers and GenAI models.
Go through our documentation for more details.
# install
pip install compliant-llm
# run the dashboard
compliant-llm dashboard
Configure your LLM provider and run attacks

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