NotebookLM for LangChain
io.github.mcp-dir/notebooklm-mcp
Google NotebookLM via natural language: create notebooks, add sources (PDF, URL, YouTube) and ask gr
client:LangChain
transport:streamable-http
tools:43
Install NotebookLM in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"notebooklm-mcp": {
"transport": "streamable_http",
"url": "https://api.mcp.ai/p_notebooklm",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- notebooklm_list
- notebooklm_notebook_create
- notebooklm_notebook_rename
- notebooklm_notebook_delete
- notebooklm_notebook_summary
- notebooklm_notebook_metadata
- notebooklm_ask
- notebooklm_history
- notebooklm_source_add
- notebooklm_source_list
- notebooklm_source_get
- notebooklm_source_fulltext
- notebooklm_source_guide
- notebooklm_source_rename
- notebooklm_source_refresh
- notebooklm_source_delete
- notebooklm_source_add_research
- notebooklm_generate
- notebooklm_artifact_list
- notebooklm_artifact_get
- notebooklm_artifact_poll
- notebooklm_artifact_suggestions
- notebooklm_artifact_rename
- notebooklm_artifact_retry