Tokenscope for LangChain
io.github.wartzar-bee/tokenscope
Analyze Claude Code session cost & context attribution: output, cached re-reads, cache writes.
client:LangChain
transport:stdio
runtime:npm
Install Tokenscope in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tokenscope": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@wartzar-bee/tokenscope-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs