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mcp/harbor
LangChain

llm advisor for LangChain

io.github.daichi-kudo/llm-advisor

Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.

client:LangChain transport:stdio runtime:npm

Install llm advisor in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "llm-advisor": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "llm-advisor-mcp"],
        }
})

tools = await client.get_tools()

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

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