AI Footprint for LangChain
io.github.nickjlamb/ai-footprint
Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.
client:LangChain
transport:streamable-http
tools:4
Install AI Footprint in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"ai-footprint": {
"transport": "streamable_http",
"url": "https://prompt-tightener-production.up.railway.app/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs