Overview
What is Enkrypt AI MCP Server?
The Enkrypt AI MCP Server integrates red-teaming, prompt auditing, and AI safety analysis into any Model Context Protocol–compatible client such as Claude Desktop or Cursor IDE. It is built for developers and security teams who want to analyze prompts, detect jailbreak attempts, and simulate adversarial attacks directly within assistant-driven workflows.
How to use Enkrypt AI MCP Server?
Clone the repository, install dependencies with uv pip install -e ., and obtain a free API key from app.enkryptai.com. Then add the server configuration to your MCP client’s JSON file (for Cursor or Claude Desktop), setting the command to uv with arguments --directory PATH/TO/enkryptai-mcp-server run src/mcp_server.py and the environment variable ENKRYPTAI_API_KEY set to your key. Restart the client to activate the tools.
Key features of Enkrypt AI MCP Server
- Real-time prompt risk analysis
- Red-teaming via adversarial prompt generation
- Tool-based LLM monitoring using the MCP standard
- Seamless integration with Claude Desktop and Cursor IDE
Use cases of Enkrypt AI MCP Server
- Analyze prompts for safety risks before sending them to an LLM
- Detect jailbreak attempts during live conversations
- Simulate adversarial attacks to test model robustness
- Embed AI safety tooling into CI/CD or development workflows
FAQ from Enkrypt AI MCP Server
Which clients are compatible with Enkrypt AI MCP Server?
It works with any MCP-compatible client, including Claude Desktop and Cursor IDE.
How do I obtain an API key for Enkrypt AI MCP Server?
Get a free API key by visiting https://app.enkryptai.com/settings/api.
What runtime dependencies does Enkrypt AI MCP Server require?
Python and the uv package manager must be installed on your machine.
How does Enkrypt AI MCP Server authenticate requests?
Authentication is handled via the ENKRYPTAI_API_KEY environment variable, which must be set to a valid API key obtained from Enkrypt AI.
