clarifyprompt-mcp

[](https://www.npmjs.com/package/clarifyprompt-mcp) [](https://opensource.org/licenses/Apache-2.0) [](https://nodejs.org/) <a href="https://glama.ai/mcp/servers/LumabyteCo/clarifyprompt-mcp"></a>

An MCP server that transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories — with support for registering custom platforms and providing markdown instruction files.

Send a raw prompt. Get back a version specifically optimized for Midjourney, DALL-E, Sora, Runway, ElevenLabs, Claude, ChatGPT, or any of the 58+ supported platforms — with the right syntax, parameters, and structure each platform expects. Register your own platforms and provide custom optimization instructions via .md files.

You write:    "a dragon flying over a castle at sunset"

ClarifyPrompt returns (for Midjourney):
  "a majestic dragon flying over a medieval castle at sunset
   --ar 16:9 --v 6.1 --style raw --q 2 --chaos 30 --s 700"

ClarifyPrompt returns (for DALL-E):
  "A majestic dragon flying over a castle at sunset. Size: 1024x1024"

Same prompt, different platform, completely different output. ClarifyPrompt knows what each platform expects.

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "clarifyprompt": {
      "command": "npx",
      "args": ["-y", "clarifyprompt-mcp"],
      "env": {
        "LLM_API_URL": "http://localhost:11434/v1",
        "LLM_MODEL": "qwen2.5:7b"
      }
    }
  }
}

claude mcp add clarifyprompt -- npx -y clarifyprompt-mcp

Set the env