Wet MCP Server

What the code does

We read the source, 1 h ago · rules ccca72095570

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        os.path.exists("/.dockerenv")

setup.py: выполняет код при установке пакета

этот файл ставится пользователю, но в репозитории его нет

        return subprocess.Popen(  # nosec B603 - fixed argv, no shell

    env = dict(os.environ)

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

      - name: File or update the canary failure issue
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add wet -- uvx wet-mcp

{
  "mcpServers": {
    "wet": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}

[mcp_servers.wet]
command = "uvx"
args = ["wet-mcp"]

{
  "mcpServers": {
    "wet": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}

{
  "mcpServers": {
    "wet": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: API_KEYS (Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chain falls back to fastretrieval's built-in local reference model.), GITHUB_TOKEN (GitHub personal access token for higher rate limits on library discovery). The author declared them in the registry entry; get the values from the project itself.