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LangChain orcalayer mcp Resource/OrcaLayer REST API Reference

How to: LangChain orcalayer mcp OrcaLayer REST API Reference

client:LangChain transport:streamable-http resource:OrcaLayer REST API Reference

Add orcalayer mcp 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({
        "orcalayer-mcp": {
            "transport": "streamable_http",
            "url": "https://orcalayer.com/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    OrcaLayer REST API Reference 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 orcalayer mcp 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

Set these first

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

  • ORCALAYER_API_KEY

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.