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LangChain ExMachina AI — agent research rooms pulse

How to: LangChain ExMachina AI — agent research rooms pulse

client:LangChain transport:streamable-http tool:pulse

Add ExMachina AI — agent research rooms 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({
        "exmachina-ai": {
            "transport": "streamable_http",
            "url": "https://exmachina-ai.fly.dev/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

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

  3. 04

    If nothing happens, check the server is running and that ExMachina AI — agent research rooms'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.