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Knowledge & Memory (RAG) #TypeScript#远端可用#MIT

mcp-rubber-duck

An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y mcp-rubber-duck

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "mcp-rubber-duck": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-rubber-duck"
      ],
      "env": {
        "LOG_LEVEL": "<LOG_LEVEL>",
        "GROQ_API_KEY": "<GROQ_API_KEY>",
        "GROQ_NICKNAME": "<GROQ_NICKNAME>",
        "CUSTOM_API_KEY": "<CUSTOM_API_KEY>",
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "CUSTOM_BASE_URL": "<CUSTOM_BASE_URL>",
        "CUSTOM_NICKNAME": "<CUSTOM_NICKNAME>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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