Enkryptai MCP Server

The Enkrypt AI MCP Server allows you to integrate red-teaming, prompt auditing, and AI safety analysis directly into any [Model Context Protocol

Local serverstdioGo

What is the Enkryptai MCP server?

Enkryptai MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. The Enkrypt AI MCP Server allows you to integrate red-teaming, prompt auditing, and AI safety analysis directly into any Model Context Protocol (MCP)–compatible client such as Claude Desktop.

Configuration and credentials

You will need one environment variable: ENKRYPTAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by enkryptai; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the enkryptai mcp server does with a few real requests.

How to install the Enkryptai MCP server

{
  "mcpServers": {
    "EnkryptAI-MCP": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH/TO/enkryptai-mcp-server",
        "run",
        "src/mcp_server.py"
      ],
      "env": {
        "ENKRYPTAI_API_KEY": "YOUR ENKRYPTAI API KEY"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
ENKRYPTAI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

It connects Enkryptai to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Enkryptai directly.