LangChain Memory search_nodes
How to: LangChain Memory search_nodes
Add Memory to LangChain
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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({
"server-memory": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"],
}
})
tools = await client.get_tools()
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02
Save the file and restart LangChain.
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03
Ask for something search_nodes does. LangChain lists the server's tools on connect and calls search_nodes itself — you do not invoke it by name.
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04
If nothing happens, check the server is running and that Memory'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
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.