lambda labs for LangChain
io.usefulapi/lambda-labs
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
client:LangChain
transport:streamable-http
tools:15
Install lambda labs in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"lambda-labs": {
"transport": "streamable_http",
"url": "https://lambda-labs.usefulapi.io/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
- lambda_list_instances
- lambda_get_instance
- lambda_list_instance_types
- lambda_list_images
- lambda_list_filesystems
- lambda_list_firewall_rules
- lambda_list_firewall_rulesets
- lambda_get_firewall_ruleset
- lambda_list_audit_events
- lambda_launch_instance
- lambda_restart_instances
- lambda_terminate_instances
- lambda_update_instance
- lambda_create_filesystem
- lambda_delete_filesystem