research hub for LangChain
io.github.wenyuchiou/research-hub
Research workspace for Zotero + Obsidian + NotebookLM. Search, ingest, sync, verify briefs.
client:LangChain
transport:stdio
runtime:pypi
Install research hub in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"research-hub": {
"transport": "stdio",
"command": "uvx",
"args": ["research-hub-pipeline"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs