Tool for testing AI system prompts against various attack vectors
Compliant MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Tool for testing AI system prompts against various attack vectors.
Compliant LLM is your comprehensive toolkit for ensuring compliance and security of your AI systems.
Once Compliant is connected, these are the calls the assistant has available:
OpenAI — AnthropicGemini — MistralGroq — DeepseekAzure — vLLM OllamaOllama — Nvidia NimDevelopers — ContributorsTelemetry — Compliant LLM tracks anonymized usage statistics to improve the product. No private or personally identifiable information is trackedBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need one environment variable: DISABLE_COMPLIANT_LLM_TELEMETRY. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Compliant's toolset — OpenAI, Gemini, Groq and 4 more — is a fair guide to whether it matches your workflow. It is maintained by Compliant LLM Contributors; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| OpenAI | Anthropic |
| Gemini | Mistral |
| Groq | Deepseek |
| Azure | vLLM Ollama |
| Ollama | Nvidia Nim |
| Developers | Contributors |
| Telemetry | Compliant LLM tracks anonymized usage statistics to improve the product. No private or personally identifiable information is tracked. |
{
"mcpServers": {
"compliant-llm": {
"command": "uvx",
"args": ["compliant-llm"],
"env": {
"DISABLE_COMPLIANT_LLM_TELEMETRY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| DISABLE_COMPLIANT_LLM_TELEMETRY | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.