server.json•1.5 kB
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json",
"name": "io.github.nesquikm/rubber-duck",
"description": "An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel",
"status": "active",
"repository": {
"url": "https://github.com/nesquikm/mcp-rubber-duck",
"source": "github"
},
"version": "1.1.1",
"packages": [
{
"registry_type": "npm",
"registry_base_url": "https://registry.npmjs.org",
"identifier": "mcp-rubber-duck",
"version": "1.1.1",
"transport": {
"type": "stdio"
},
"environment_variables": [
{
"description": "OpenAI API key (starts with sk-)",
"is_required": false,
"format": "string",
"is_secret": true,
"name": "OPENAI_API_KEY"
},
{
"description": "Google Gemini API key",
"is_required": false,
"format": "string",
"is_secret": true,
"name": "GEMINI_API_KEY"
},
{
"description": "Groq API key (starts with gsk_)",
"is_required": false,
"format": "string",
"is_secret": true,
"name": "GROQ_API_KEY"
},
{
"description": "Default LLM provider to use",
"is_required": false,
"format": "string",
"is_secret": false,
"name": "DEFAULT_PROVIDER"
}
]
}
]
}