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LangChain Small Business Intelligence by Brick & Mortar data_source_atlas

How to: LangChain Small Business Intelligence by Brick & Mortar data_source_atlas

client:LangChain transport:streamable-http tool:data_source_atlas

Add Small Business Intelligence by Brick & Mortar 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({
        "small-business-intelligence": {
            "transport": "streamable_http",
            "url": "https://brickandmortar.dev/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    Ask for something data_source_atlas does. LangChain lists the server's tools on connect and calls data_source_atlas itself — you do not invoke it by name.

  3. 04

    If nothing happens, check the server is running and that Small Business Intelligence by Brick & Mortar's identifier in your config matches the one above exactly.

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

Same tool, other clients

This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what the server actually exposes, not what its listing claims.

Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.