Keystone for LangChain
pro.keystone-core/keystone
C4 architecture model of your system, built from code by your AI and read back as focused context.
client:LangChain
transport:streamable-http
Install Keystone in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"keystone": {
"transport": "streamable_http",
"url": "https://keystone-core.pro/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs