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LangChain aviation weather mcp server Prompt/aviation_preflight_brief

How to: LangChain aviation weather mcp server aviation_preflight_brief

client:LangChain transport:streamable-http prompt:aviation_preflight_brief

Add aviation weather mcp server 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({
        "aviation-weather-mcp-server": {
            "transport": "streamable_http",
            "url": "https://aviation-weather.caseyjhand.com/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    aviation_preflight_brief 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 aviation weather mcp server 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

Set these first

aviation weather mcp server will not start until these are set, so it never reaches LangChain.

  • MCP_LOG_LEVEL
  • AWC_BASE_URL
  • AWC_TIMEOUT_MS

Same prompt, other clients

Read from the server itself, by connecting to it and calling prompts/list on 24 September 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.