Nodehour: GPU capacity sized from your run and quoted by providers for LangChain
com.forevenza.services/nodehour
GPU cluster sourcing: describe the run, get a sized requirement, quotes compared by email
client:LangChain
transport:streamable-http
tools:18
Install Nodehour: GPU capacity sized from your run and quoted by providers in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"nodehour": {
"transport": "streamable_http",
"url": "https://nodehour.forevenza.com/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- describe_business
- submit_request
- interpret_requirement
- get_requirement
- edit_requirement
- send_requirement
- request_status
- inspect_offer
- accept_offer
- decline_offer
- release_payment
- retrieve_deliverable
- counter_offer
- submit_purchase_order
- state_purchasing_requirements
- report_vendor_status
- inspect_delivery
- answer_remedy