Trail for LangChain
dev.usetrail/trail
Issue tracker and durable project memory for your coding agent, scoped to the folder you open.
client:LangChain
transport:stdio
runtime:npm
Install Trail in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"trail": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "usetrail"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs