todox for LangChain
io.github.beydemirfurkan/todox
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
client:LangChain
transport:streamable-http
Install todox in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"todox": {
"transport": "streamable_http",
"url": "https://www.todox.dev/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs