Keystone for LangChain
io.github.srikarmk/keystone
What an arXiv paper builds on, disputes and assumes, read verbatim from its LaTeX. No LLM.
client:LangChain
transport:streamable-http
tools:3
Install Keystone in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"keystone": {
"transport": "streamable_http",
"url": "https://keystone-research.vercel.app/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs