rubber-duck

{
  "server.json": {
    "name": "io.github.nesquikm/rubber-duck",
    "status": "active",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json",
    "version": "1.1.1",
    "packages": [
      {
        "version": "1.1.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "mcp-rubber-duck",
        "registry_type": "npm",
        "registry_base_url": "https://registry.npmjs.org",
        "environment_variables": [
          {
            "name": "OPENAI_API_KEY",
            "format": "string",
            "is_secret": true,
            "description": "OpenAI API key (starts with sk-)",
            "is_required": false
          },
          {
            "name": "GEMINI_API_KEY",
            "format": "string",
            "is_secret": true,
            "description": "Google Gemini API key",
            "is_required": false
          },
          {
            "name": "GROQ_API_KEY",
            "format": "string",
            "is_secret": true,
            "description": "Groq API key (starts with gsk_)",
            "is_required": false
          },
          {
            "name": "DEFAULT_PROVIDER",
            "format": "string",
            "is_secret": false,
            "description": "Default LLM provider to use",
            "is_required": false
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/nesquikm/mcp-rubber-duck",
      "source": "github"
    },
    "description": "An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel"
  }
}