Aurelmark for LangChain
io.github.ishan73744/aurelmark
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client:LangChain
transport:streamable-http
tools:9
Install Aurelmark in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"aurelmark": {
"transport": "streamable_http",
"url": "https://aurelmark.ishanpatel.workers.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs