Skip to content
mcp/harbor
LangChain

ami survey for LangChain

io.github.speedofred/ami-survey

Measures the cost, tokens and duration of a completed agent workflow from its session log.

client:LangChain transport:stdio runtime:pypi

Install ami survey in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "ami-survey": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["ami-survey"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

ami survey in other clients

ami survey MCP server