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LangChain Vynix Prompt/fix_annotation

How to: LangChain Vynix fix_annotation

client:LangChain transport:streamable-http prompt:fix_annotation

Add Vynix 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({
        "vynix-mcp": {
            "transport": "streamable_http",
            "url": "https://mcp.vynix.in/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    fix_annotation 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 Vynix 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

Vynix will not start until these are set, so it never reaches LangChain.

  • VYNIX_API_URL
  • VYNIX_API_TOKEN

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.