Tavimi for LangChain
com.tavimi/tavimi
Shared working memory for teams and their AI assistants: notes, tasks, docs and files by space.
client:LangChain
transport:streamable-http
Install Tavimi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tavimi": {
"transport": "streamable_http",
"url": "https://app.tavimi.com/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs