Wafermap for LangChain
xyz.wafermap/wafermap
x402 layer for AI agents: 35 pay-per-call resources, x402 service discovery, USDG/USDC.
client:LangChain
transport:streamable-http
tools:5
Install Wafermap in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"wafermap": {
"transport": "streamable_http",
"url": "https://wafermap.xyz/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs