Tabularium for LangChain
io.github.sqlazy/tabularium
Agent memory and a signed spending ledger: pay any x402 API, keep a provable receipt.
client:LangChain
transport:streamable-http
runtime:npm
tools:8
Install Tabularium in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tabularium": {
"transport": "streamable_http",
"url": "https://tabularium.matt-3e0.workers.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs