Vessel Browser for LangChain
io.github.unmodeled-tyler/vessel-browser
AI-native browser runtime for autonomous agents with human-in-the-loop supervision
client:LangChain
transport:stdio
runtime:npm
Install Vessel Browser in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"vessel-browser": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@quanta-intellect/vessel-browser"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs