Ratary Memory MCP for LangChain
io.github.ontorata/ratary
Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.
client:LangChain
transport:stdio
runtime:npm
Install Ratary Memory MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"ratary": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@ratary/mcp-server"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs