worklore for LangChain
io.github.worklore/worklore
Search worklore stories and x-ray any skill or story capability tier (T0-T4) before you run it.
client:LangChain
transport:streamable-http
Install worklore in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"worklore": {
"transport": "streamable_http",
"url": "https://worklore.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs