Clarifyprompt MCP Server

What the code does

We read the source, 20 h ago · rules 3dff92dd89df

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.

        : path.join(this.instructionsDir, instructionsFile);

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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 clarifyprompt -- npx -y clarifyprompt-mcp

{
  "mcpServers": {
    "clarifyprompt": {
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ],
      "command": "npx"
    }
  }
}

[mcp_servers.clarifyprompt]
command = "npx"
args = ["-y", "clarifyprompt-mcp"]

{
  "mcpServers": {
    "clarifyprompt": {
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ],
      "command": "npx"
    }
  }
}

{
  "mcpServers": {
    "clarifyprompt": {
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ],
      "command": "npx"
    }
  }
}

This one needs environment variables set before it will start: LLM_API_URL (LLM API endpoint URL (OpenAI-compatible or Anthropic)), LLM_API_KEY (API key for the LLM provider (not needed for local Ollama)), LLM_MODEL (Model name/ID to use for optimization). The author declared them in the registry entry; get the values from the project itself.