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LangChain Exercise Images Resource/workout

How to: LangChain Exercise Images workout

client:LangChain transport:streamable-http resource:workout

Add Exercise Images 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({
        "exercise-images": {
            "transport": "streamable_http",
            "url": "https://mcp.exerciseimages.com/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    workout is surfaced through the client's resource API, read by URI. It is context to attach, not an action to run.

  3. 04

    If it does not appear, check that Exercise Images is connected and that you are looking at its resources rather than its tools.

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

Same resource, other clients

Read from the server itself, by connecting to it and calling resources/list on 14 November 2026. A listing does not declare its resources, 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 resource's type and contents.