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mcp/harbor
LangChain

rubber duck for LangChain

io.github.nesquikm/rubber-duck

Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more

client:LangChain transport:stdio runtime:npm

Install rubber duck in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "rubber-duck": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "mcp-rubber-duck"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

rubber duck in other clients

rubber duck MCP server