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LangChain Dunn Estates Aspen: The Galena Penthouse Prompt/plan_aspen_stay

How to: LangChain Dunn Estates Aspen: The Galena Penthouse plan_aspen_stay

client:LangChain transport:streamable-http prompt:plan_aspen_stay

Add Dunn Estates Aspen: The Galena Penthouse to LangChain

  1. 01

    Open pip install langchain-mcp-adapters and merge this in. Keep any servers already there.

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "aspen-penthouse": {
            "transport": "streamable_http",
            "url": "https://www.dunnestates.com/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    plan_aspen_stay is surfaced through the client's prompt API, fetched by name. Unlike a tool, you invoke it deliberately — LangChain will not call it for you.

  3. 04

    If it does not appear, check that Dunn Estates Aspen: The Galena Penthouse is connected and that you are looking at its prompts rather than its tools.

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

Same prompt, other clients

Read from the server itself, by connecting to it and calling prompts/list on 29 October 2026. A listing does not declare its prompts, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each prompt's arguments.